Faster R-CNN: Towards Real-Time Object Detection with Region Proposal\n Networks

2015/06/04 by Shaoqing Ren, Kaiming He, Ren, Shaoqing +5 · 1664 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications

paper · pdf · doi:10.48550/arxiv.1506.01497

openalex publication_date 2015/06/04 · openalex created_date 2019/06/27 · openalex updated_date 2026/07/30

Abstract

State-of-the-art object detection networks depend on region proposal\nalgorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN\nhave reduced the running time of these detection networks, exposing region\nproposal computation as a bottleneck. In this work, we introduce a Region\nProposal Network (RPN) that shares full-image convolutional features with the\ndetection network, thus enabling nearly cost-free region proposals. An RPN is a\nfully convolutional network that simultaneously predicts object bounds and\nobjectness scores at each position. The RPN is trained end-to-end to generate\nhigh-quality region proposals, which are used by Fast R-CNN for detection. We\nfurther merge RPN and Fast R-CNN into a single network by sharing their\nconvolutional features---using the recently popular terminology of neural\nnetworks with 'attention' mechanisms, the RPN component tells the unified\nnetwork where to look. For the very deep VGG-16 model, our detection system has\na frame rate of 5fps (including all steps) on a GPU, while achieving\nstate-of-the-art object detection accuracy on PASCAL VOC 2007, 2012, and MS\nCOCO datasets with only 300 proposals per image. In ILSVRC and COCO 2015\ncompetitions, Faster R-CNN and RPN are the foundations of the 1st-place winning\nentries in several tracks. Code has been made publicly available.\n

Citations

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• Taming a Retrieval Framework to Read Images in Humanlike Manner for Augmenting Generation of MLLMs
• Ordinal Scale Traffic Congestion Classification with Multi-Modal Vision-Language and Motion Analysis
• The Importance and the Limitations of Sim2Real for Robotic Manipulation in Precision Agriculture
• MRI Brain Tumor Detection with Computer Vision
• PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery
• Learning to Reweight with Deep Interactions
• Towards General Purpose Vision Systems
• Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs
• Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
• Leveraging Prior Knowledge of Diffusion Model for Person Search
• CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation
• SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
• Pose Neural Fabrics Search
• Re-ID Driven Localization Refinement for Person Search
• Drill the Cork of Information Bottleneck by Inputting the Most Important Data
• Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
• Learning Transferable Adversarial Examples via Ghost Networks
• TARO: Toward Semantically Rich Open-World Object Detection
• Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models
• Denoised Diffusion for Object-Focused Image Augmentation
• Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
• A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network
• Towards Adversarially Robust Object Detection
• Structured Knowledge Distillation for Dense Prediction
• Exploring Data Aggregation and Transformations to Generalize across Visual Domains
• Learning to Generate Content-Aware Dynamic Detectors
• Deep Learning based Multi-Modal Sensing for Tracking and State Extraction of Small Quadcopters
• OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
• Fast-Tracker 2.0: Improving Autonomy of Aerial Tracking with Active Vision and Human Location Regression
• Robust 2D/3D Vehicle Parsing in CVIS
• Curriculum Learning with Diversity for Supervised Computer Vision Tasks
• Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction
• Curriculum Learning with Synthetic Data for Enhanced Pulmonary Nodule Detection in Chest Radiographs
• Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering
• MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection
• X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
• Spatio-Temporal Action Detection with Multi-Object Interaction
• Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound
• EOLO: Embedded Object Segmentation only Look Once
• More Grounded Image Captioning by Distilling Image-Text Matching Model
• Tracking by Instance Detection: A Meta-Learning Approach
• G-TAD: Sub-Graph Localization for Temporal Action Detection
• A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
• Two-Stream AMTnet for Action Detection
• Explaining raw data complexity to improve satellite onboard processing
• Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling
• The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
• Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
• Getting the Numbers Right\unicodex2014Modelling Multi-Class Object Counting in Dense and Varied Scenes
• VIOLIN: A Large-Scale Dataset for Video-and-Language Inference
• Ultralytics YOLO Evolution: An Overview of YOLO26, YOLO11, YOLOv8 and YOLOv5 Object Detectors for Computer Vision and Pattern Recognition
• Neuroplastic Modular Framework: Cross-Domain Image Classification of Garbage and Industrial Surfaces
• Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization
• Comparative Analysis of YOLOv5, Faster R-CNN, SSD, and RetinaNet for Motorbike Detection in Kigali Autonomous Driving Context
• Improving Transferability of Adversarial Examples with Input Diversity
• 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
• WebVision Database: Visual Learning and Understanding from Web Data
• Multi-Scale Aligned Distillation for Low-Resolution Detection
• Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
• Reformulating HOI Detection as Adaptive Set Prediction
• Cross-View Open-Vocabulary Object Detection in Aerial Imagery
• Quantum-soft QUBO Suppression for Accurate Object Detection
• PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN
• Detecting Noteheads in Handwritten Scores with ConvNets and Bounding Box\n Regression
• Video Instance Segmentation
• Referring Expression Comprehension for Small Objects
• A Hybrid Co-Finetuning Approach for Visual Bug Detection in Video Games
• Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation
• Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models
• Align Your Query: Representation Alignment for Multimodality Medical Object Detection
• IMAGEdit: Let Any Subject Transform
• Fast Object Detection in Compressed Video
• Group-based Distinctive Image Captioning with Memory Attention
• Improving localization-based approaches for breast cancer screening exam classification
• Semantic Visual Simultaneous Localization and Mapping: A Survey on State of the Art, Challenges, and Future Directions
• Momentum Contrast for Unsupervised Visual Representation Learning
• TAP: Text-Aware Pre-training for Text-VQA and Text-Caption
• Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine Applications
• VisualBERT: A Simple and Performant Baseline for Vision and Language
• Learning Multi-level Deep Representations for Image Emotion Classification
• Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA
• Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
• Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection
• Multi-View Camera System for Variant-Aware Autonomous Vehicle Inspection and Defect Detection
• Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation
• Hybrid Dual-Batch and Cyclic Progressive Learning for Efficient Distributed Training
• VLM-FO1: Bridging the Gap Between High-Level Reasoning and Fine-Grained Perception in VLMs
• FishNet++: Analyzing the capabilities of Multimodal Large Language Models in marine biology
• YOLO26: Key Architectural Enhancements and Performance Benchmarking for Real-Time Object Detection
• TP-MVCC: Tri-plane Multi-view Fusion Model for Silkie Chicken Counting
• A Fast Knowledge Distillation Framework for Visual Recognition
• Dense Contrastive Learning for Self-Supervised Visual Pre-Training
• S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
• SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection
• 2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
• Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance
• Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
• A Multi-Camera Vision-Based Approach for Fine-Grained Assembly Quality Control
• Diff-3DCap: Shape Captioning with Diffusion Models
• Focusing on What Matters: Object-Agent-centric Tokenization for Vision Language Action models
• Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds
• Representing Videos as Discriminative Sub-graphs for Action Recognition
• FracDetNet: Advanced Fracture Detection via Dual-Focus Attention and Multi-scale Calibration in Medical X-ray Imaging
• Enhanced Fracture Diagnosis Based on Critical Regional and Scale Aware in YOLO
• Answer-checking in Context: A Multi-modal FullyAttention Network for Visual Question Answering
• Soft Sampling for Robust Object Detection
• Learning Modulated Loss for Rotated Object Detection
• Tracking Objects as Points
• Exploiting long-term temporal dynamics for video captioning
• One-Shot Object Detection without Fine-Tuning
• TSDM: Tracking by SiamRPN++ with a Depth-refiner and a Mask-generator
• Cross-Modality Relevance for Reasoning on Language and Vision
• Visual Relationship Detection using Scene Graphs: A Survey
• Scope Head for Accurate Localization in Object Detection
• COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification
• End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
• γ-Quant: Towards Learnable Quantization for Low-bit Pattern Recognition
• HierLight-YOLO: A Hierarchical and Lightweight Object Detection Network for UAV Photography
• Multilingual Vision-Language Models, A Survey
• Spatial Reasoning in Foundation Models: Benchmarking Object-Centric Spatial Understanding
• Enhancing Vehicle Detection under Adverse Weather Conditions with Contrastive Learning
• Incorporating Scene Context and Semantic Labels for Enhanced Group-level Emotion Recognition
• MS-YOLO: Infrared Object Detection for Edge Deployment via MobileNetV4 and SlideLoss
• Deep Watershed Detector for Music Object Recognition
• Learning Student Networks via Feature Embedding
• AI-Enabled Crater-Based Navigation for Lunar Mapping
• FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions
• DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning
• FSMODNet: A Closer Look at Few-Shot Detection in Multispectral Data
• Resolving Class Imbalance in Object Detection with Weighted Cross Entropy Losses
• Visually Grounded Continual Learning of Compositional Phrases
• CompressAI-Vision: Open-source software to evaluate compression methods for computer vision tasks
• Self-Critical Reasoning for Robust Visual Question Answering
• LXMERT: Learning Cross-Modality Encoder Representations from Transformers
• Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
• Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing
• SDE-DET: A Precision Network for Shatian Pomelo Detection in Complex Orchard Environments
• GridMask Data Augmentation
• DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
• BiTAA: A Bi-Task Adversarial Attack for Object Detection and Depth Estimation via 3D Gaussian Splatting
• Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators
• MM-FSOD: Meta and metric integrated few-shot object detection
• The 1st Tiny Object Detection Challenge:Methods and Results
• Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM
• Structure-Aware Face Clustering on a Large-Scale Graph with \bf10⁷ Nodes
• One Patch Is Enough: Reinforcement-Optimized Visual Token Grounding for MLLM-Based Scene Text Spotting
• Conditional Convolutions for Instance Segmentation
• MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
• Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures
• Improving Object Detection with Selective Self-supervised Self-training
• Whole-Body Human Pose Estimation in the Wild
• Deep learning for brake squeal: vibration detection, characterization and prediction
• Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation
• Towards a Generic Diver-Following Algorithm: Balancing Robustness and\n Efficiency in Deep Visual Detection
• Hard Negative Mixing for Contrastive Learning
• Image Captioning based on Deep Learning Methods: A Survey
• Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation
• A scalar per patch from pre-trained ViTs enables fast moving navigation in the real world
• A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis
• Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection
• Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets
• Semantic Understanding of Scenes Through the ADE20K Dataset
• A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery
• CLIP-Adapter: Better Vision-Language Models with Feature Adapters
• Multi-view Tracking, Re-ID, and Social Network Analysis of a Flock of Visually Similar Birds in an Outdoor Aviary
• FADE: A Task-Agnostic Upsampling Operator for Encoder–Decoder Architectures
• RevealNet: Seeing Behind Objects in RGB-D Scans
• Semi-Autoregressive Transformer for Image Captioning
• Fast Video Shot Transition Localization with Deep Structured Models
• RiO-DETR: DETR for Real-time Oriented Object Detection
• Gesture Recognition for Initiating Human-to-Robot Handovers
• Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
• Representation Sharing for Fast Object Detector Search and Beyond
• Where are the Blobs: Counting by Localization with Point Supervision
• Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
• Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
• TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning
• Adaptive Offline Quintuplet Loss for Image-Text Matching
• A Performance Comparison of Loss Functions for Deep Face Recognition
• Joint Face Detection and Facial Motion Retargeting for Multiple Faces
• IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
• Human-centric Spatio-Temporal Video Grounding With Visual Transformers
• Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video
• Deep Affinity Net: Instance Segmentation via Affinity
• ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks
• Bringing in the outliers: A sparse subspace clustering approach to learn a dictionary of mouse ultrasonic vocalizations
• RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks
• Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
• Learning semantic Image attributes using Image recognition and knowledge graph embeddings
• Object Detection in the Context of Mobile Augmented Reality
• Learning to Discriminate Information for Online Action Detection
• Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
• SOLO: A Simple Framework for Instance Segmentation
• Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology
• Self-supervised 6D Object Pose Estimation for Robot Manipulation
• Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection
• SuperOCR: A Conversion from Optical Character Recognition to Image Captioning
• Object DGCNN: 3D Object Detection using Dynamic Graphs
• Unsupervised Part Discovery via Feature Alignment
• Multimodal Learning for Hateful Memes Detection
• Automatic Detection of Cardiac Chambers Using an Attention-based YOLOv4 Framework from Four-chamber View of Fetal Echocardiography
• Positional Encoding as Spatial Inductive Bias in GANs
• ParaNet: Deep Regular Representation for 3D Point Clouds
• Box-Level Class-Balanced Sampling for Active Object Detection
• Robust Segmentation of Optic Disc and Cup from Fundus Images Using Deep Neural Networks
• Self-supervised pre-training and contrastive representation learning for multiple-choice video QA
• From Unstable to Playable: Stabilizing Angry Birds Levels via Object Segmentation
• DRG: Dual Relation Graph for Human-Object Interaction Detection
• Region Refinement Network for Salient Object Detection
• Advancing Metallic Surface Defect Detection via Anomaly-Guided Pretraining on a Large Industrial Dataset
• Physical Adversarial Attack on Vehicle Detector in the Carla Simulator
• Latent Danger Zone: Distilling Unified Attention for Cross-Architecture Black-box Attacks
• A Deep Ordinal Distortion Estimation Approach for Distortion Rectification
• Language-in-the-Loop Culvert Inspection on the Erie Canal
• Multi-needle Localization for Pelvic Seed Implant Brachytherapy based on Tip-handle Detection and Matching
• Searching for Accurate Binary Neural Architectures
• Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
• Two-Stream Region Convolutional 3D Network for Temporal Activity Detection
• Visual Instruction Pretraining for Domain-Specific Foundation Models
• DepTR-MOT: Unveiling the Potential of Depth-Informed Trajectory Refinement for Multi-Object Tracking
• Fourier Contour Embedding for Arbitrary-Shaped Text Detection
• Domain Adaptive Object Detection for Space Applications with Real-Time Constraints
• Democratizing Production-Scale Distributed Deep Learning
• FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review
• An Analysis of Kalman Filter based Object Tracking Methods for Fast-Moving Tiny Objects
• Automated Facility Enumeration for Building Compliance Checking using Door Detection and Large Language Models
• SFN-YOLO: Towards Free-Range Poultry Detection via Scale-aware Fusion Networks
• Deep Clustering for Unsupervised Learning of Visual Features
• LLM-Assisted Semantic Guidance for Sparsely Annotated Remote Sensing Object Detection
• Prototypical Contrastive Learning of Unsupervised Representations
• Enhanced Detection of Tiny Objects in Aerial Images
• From Data to Diagnosis: A Large, Comprehensive Bone Marrow Dataset and AI Methods for Childhood Leukemia Prediction
• UNIV: Unified Foundation Model for Infrared and Visible Modalities
• Towards Size-invariant Salient Object Detection: A Generic Evaluation and Optimization Approach
• Robust Object Detection for Autonomous Driving via Curriculum-Guided Group Relative Policy Optimization
• Saccadic Vision for Fine-Grained Visual Classification
• Region-Aware Deformable Convolutions
• Maize Seedling Detection Dataset (MSDD): A Curated High-Resolution RGB Dataset for Seedling Maize Detection and Benchmarking with YOLOv9, YOLO11, YOLOv12 and Faster-RCNN
• Rethinking "Batch" in BatchNorm
• PRISM: Product Retrieval In Shopping Carts using Hybrid Matching
• Crafting GBD-Net for Object Detection
• Emotion-Aware Speech Generation with Character-Specific Voices for Comics
• Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
• Exploring Self-attention for Image Recognition
• Cross-view Relation Networks for Mammogram Mass Detection
• Multi-Sensor 3D Object Box Refinement for Autonomous Driving
• NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation
• Sequential Voting with Relational Box Fields for Active Object Detection
• Unsupervised Object-Level Representation Learning from Scene Images
• Towards Overcoming False Positives in Visual Relationship Detection
• A Framework for Generating Artificial Datasets to Validate Absolute and Relative Position Concepts
• AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency
• Modification method for single-stage object detectors that allows to\n exploit the temporal behaviour of a scene to improve detection accuracy
• An Exploratory Study on Abstract Images and Visual Representations Learned from Them
• Data Leakage in Visual Datasets
• CETUS: Causal Event-Driven Temporal Modeling With Unified Variable-Rate Scheduling
• Improving Generalized Visual Grounding with Instance-aware Joint Learning
• Multimodal Transformer with Multi-View Visual Representation for Image Captioning
• Structure Aware SLAM using Quadrics and Planes
• MINGLE: VLMs for Semantically Complex Region Detection in Urban Scenes
• Simultaneously Localize, Segment and Rank the Camouflaged Objects
• A Novel Compression Framework for YOLOv8: Achieving Real-Time Aerial Object Detection on Edge Devices via Structured Pruning and Channel-Wise Distillation
• Maps for Autonomous Driving: Full-process Survey and Frontiers
• Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment
• BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
• Learning in an Uncertain World: Representing Ambiguity Through Multiple\n Hypotheses
• TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
• Robust Object Detection under Occlusion with Context-Aware CompositionalNets
• PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection
• Toward Filament Segmentation Using Deep Neural Networks
• Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
• Learning Deep Image Priors for Blind Image Denoising
• Learning Deep ResNet Blocks Sequentially using Boosting Theory
• Text-Based Person Search with Limited Data
• SceneGen: Generative Contextual Scene Augmentation using Scene Graph Priors
• GLiT: Neural Architecture Search for Global and Local Image Transformer
• Addressing Failure Prediction by Learning Model Confidence
• Bootstrap your own latent: A new approach to self-supervised Learning
• Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
• MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
• Few-Shot Object Detection via Knowledge Transfer
• Sitatapatra: Blocking the Transfer of Adversarial Samples
• Deep Multi-camera People Detection
• FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
• VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations
• A Multiplexed Network for End-to-End, Multilingual OCR
• A Fully Open and Generalizable Foundation Model for Ultrasound Clinical Applications
• Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation
• Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck
• Optical deep learning nano-profilometry
• Hierarchical LSTMs with Adaptive Attention for Visual Captioning
• Motion Estimation for Multi-Object Tracking using KalmanNet with Semantic-Independent Encoding
• InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining
• Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
• 3D Feature Pyramid Attention Module for Robust Visual Speech Recognition
• Policy-Driven Transfer Learning in Resource-Limited Animal Monitoring
• Review: deep learning on 3D point clouds
• Group Evidence Matters: Tiling-based Semantic Gating for Dense Object Detection
• Pose-adaptive Hierarchical Attention Network for Facial Expression Recognition
• Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning
• Deep Learning for Generic Object Detection: A Survey
• Rethinking Channel Dimensions for Efficient Model Design
• Keep it Simple: Image Statistics Matching for Domain Adaptation
• Online 3D Multi-Camera Perception through Robust 2D Tracking and Depth-based Late Aggregation
• Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models
• Towards Understanding Visual Grounding in Visual Language Models
• Relation-Aware Graph Attention Network for Visual Question Answering
• Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
• Dense RepPoints: Representing Visual Objects with Dense Point Sets
• A Co-Training Semi-Supervised Framework Using Faster R-CNN and YOLO Networks for Object Detection in Densely Packed Retail Images
• Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception
• Person Re-identification: Past, Present and Future
• Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation
• RT-DETR++ for UAV Object Detection
• Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
• Research on Fast Text Recognition Method for Financial Ticket Image
• WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector
• GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts
• Renovating Parsing R-CNN for Accurate Multiple Human Parsing
• Separating Skills and Concepts for Novel Visual Question Answering
• Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
• Symmetry and Group in Attribute-Object Compositions
• CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network
• Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
• A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
• Actor-Centric Relation Network
• Exploring Simple Siamese Representation Learning
• HRank: Filter Pruning using High-Rank Feature Map
• Boosted Training of Lightweight Early Exits for Optimizing CNN Image Classification Inference
• Dual-Thresholding Heatmaps to Cluster Proposals for Weakly Supervised Object Detection
• CrowdQuery: Density-Guided Query Module for Enhanced 2D and 3D Detection in Crowded Scenes
• Impression Space from Deep Template Network
• Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems
• PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy
• Two-Stage Swarm Intelligence Ensemble Deep Transfer Learning (SI-EDTL) for Vehicle Detection Using Unmanned Aerial Vehicles
• Feature Pyramid Transformer
• Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data
• Deep Image Retrieval: Learning global representations for image search
• DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection
• Towards Generalization and Data Efficient Learning of Deep Robotic Grasping
• ResizeMix: Mixing Data with Preserved Object Information and True Labels
• Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures
• FCOS: Fully Convolutional One-Stage Object Detection
• End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales
• Comprehensive Image Captioning via Scene Graph Decomposition
• Detection of trade in products derived from threatened species using machine learning and a smartphone
• Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages
• An Analysis of Scale Invariance in Object Detection - SNIP
• Multi-Modal Camera-Based Detection of Vulnerable Road Users
• When Language Model Guides Vision: Grounding DINO for Cattle Muzzle Detection
• Comparison Network for One-Shot Conditional Object Detection
• Two-Stage Framework for Efficient UAV-Based Wildfire Video Analysis with Adaptive Compression and Fire Source Detection
• Pothole Detection and Recognition based on Transfer Learning
• A Recurrent Vision-and-Language BERT for Navigation
• Image Enhanced Rotation Prediction for Self-Supervised Learning
• Semantic Segmentation for Compound figures
• A New Hybrid Model of Generative Adversarial Network and You Only Look Once Algorithm for Automatic License-Plate Recognition
• TinyDef-DETR: A Transformer-Based Framework for Defect Detection in Transmission Lines from UAV Imagery
• Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning
• Detection of E-scooter Riders in Naturalistic Scenes
• PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things
• Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation
• Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation
• Language-guided Recursive Spatiotemporal Graph Modeling for Video Summarization
• ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences
• High Utilization Energy-Aware Real-Time Inference Deep Convolutional Neural Network Accelerator
• FCOS: A simple and strong anchor-free object detector
• Comp-X: On Defining an Interactive Learned Image Compression Paradigm With Expert-driven LLM Agent
• PropVG: End-to-End Proposal-Driven Visual Grounding with Multi-Granularity Discrimination
• Learning Spatio-Temporal Representation with Local and Global Diffusion
• Quaternion Approximation Networks for Enhanced Image Classification and Oriented Object Detection
• Bayesian Loss for Crowd Count Estimation with Point Supervision
• Towards Open World Detection: A Survey
• CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
• Differential Morphological Profile Neural Networks for Semantic Segmentation
• YOLO Ensemble for UAV-based Multispectral Defect Detection in Wind Turbine Components
• TriLiteNet: Lightweight Model for Multi-Task Visual Perception
• Integrating Objects into Monocular SLAM: Line Based Category Specific Models
• Quantifying and Alleviating the Language Prior Problem in Visual Question Answering
• Object Detection in Specific Traffic Scenes using YOLOv2
• SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
• Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
• Revisiting the Loss Weight Adjustment in Object Detection
• Dari Barisan ke Pakatan: berubahnya dinamiks Pilihan Raya UmumKuala Lumpur 1955-2013
• Defective Convolutional Networks
• DisPatch: Disarming Adversarial Patches in Object Detection with Diffusion Models
• Semantic Segmentation from Limited Training Data
• Center-based 3D Object Detection and Tracking
• YOLOv4: Optimal Speed and Accuracy of Object Detection
• SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather
• Human De-occlusion: Invisible Perception and Recovery for Humans
• SOPSeg: Prompt-based Small Object Instance Segmentation in Remote Sensing Imagery
• Heatmap Guided Query Transformers for Robust Astrocyte Detection across Immunostains and Resolutions
• The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines
• Vision-based deep execution monitoring
• P² Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation
• Targeted Physical Evasion Attacks in the Near-Infrared Domain
• Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning
• Efficient Pipelines for Vision-Based Context Sensing
• Structure-aware Contrastive Learning for Diagram Understanding of Multimodal Models
• Multimodal Contrastive Training for Visual Representation Learning
• Lightweight Pyramid Networks for Image Deraining
• Automated data extraction of bar chart raster images
• Global Context Aware RCNN for Object Detection
• Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
• Synesthesia of Machines (SoM)-Based Task-Driven MIMO System for Image Transmission
• When Healthcare Meets Off-the-Shelf WiFi: A Non-Wearable and Low-Costs Approach for In-Home Monitoring
• The Role of Context Selection in Object Detection
• Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
• Improving Long-Tailed Object Detection with Balanced Group Softmax and Metric Learning
• FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free
• Hierarchical Vision-Language Reasoning for Multimodal Multiple-Choice Question Answering
• High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection
• Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices
• Image Quality Enhancement and Detection of Small and Dense Objects in Industrial Recycling Processes
• SAR-NAS: Lightweight SAR Object Detection with Neural Architecture Search
• MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost
• FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation
• Unifying Training and Inference for Panoptic Segmentation
• Class-Incremental Few-Shot Object Detection
• GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery
• Towards Deep Learning Assisted Autonomous UAVs for Manipulation Tasks in GPS-Denied Environments
• Trait specialization facilitates autonomous selfing ability in a mixed‐mating plant
• Perceptual Generative Adversarial Networks for Small Object Detection
• Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
• RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
• COVID-19 personal protective equipment detection using real-time deep learning methods
• RT-VLM: Re-Thinking Vision Language Model with 4-Clues for Real-World Object Recognition Robustness
• Detailed 2D-3D Joint Representation for Human-Object Interaction
• C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Car Damage Detection
• SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding
• Target-Oriented Single Domain Generalization
• CO2: Consistent Contrast for Unsupervised Visual Representation Learning
• Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments
• FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA
• Solutions for Mitotic Figure Detection and Atypical Classification in MIDOG 2025
• Understanding the Behaviour of Contrastive Loss
• Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback
• Probabilistic two-stage detection
• Identifying Surgical Instruments in Laparoscopy Using Deep Learning Instance Segmentation
• Panoptic Segmentation of Environmental UAV Images : Litter Beach
• Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
• QuadricSLAM: Dual Quadrics from Object Detections as Landmarks in\n Object-oriented SLAM
• CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
• An Empirical Study of DNNs Robustification Inefficacy in Protecting\n Visual Recommenders
• KeepAugment: A Simple Information-Preserving Data Augmentation Approach
• Accurate RGB-D Salient Object Detection via Collaborative Learning
• Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention
• IG-TRACK: IOU Guided Siamese Networks for visual object tracking
• Semantic-Aware Ship Detection with Vision-Language Integration
• Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation
• YOLOX: Exceeding YOLO Series in 2021
• ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
• Simple Online and Realtime Tracking with a Deep Association Metric
• Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and\n Pose Estimation
• Temporal Action Localization using Long Short-Term Dependency
• To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software
• Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training
• Contrastive Learning through Auxiliary Branch for Video Object Detection
• CaddieSet: A Golf Swing Dataset with Human Joint Features and Ball Information
• Finding the Evidence: Localization-aware Answer Prediction for Text Visual Question Answering
• 3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection
• End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
• Iterative Low-Rank Approximation for CNN Compression
• What makes instance discrimination good for transfer learning?
• Exploring Randomly Wired Neural Networks for Image Recognition
• HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection
• The Role of Teacher Calibration in Knowledge Distillation
• Spatiotemporal Contrastive Video Representation Learning
• Accurate Anchor Free Tracking
• Improving Calibration for Long-Tailed Recognition
• Kernel Transformer Networks for Compact Spherical Convolution
• Objects in Semantic Topology
• Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models
• RATopo: Improving Lane Topology Reasoning via Redundancy Assignment
• Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers
• Scalable Object Detection in the Car Interior With Vision Foundation Models
• SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving
• FlowDet: Overcoming Perspective and Scale Challenges in Real-Time End-to-End Traffic Detection
• Exploring Categorical Regularization for Domain Adaptive Object Detection
• ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
• ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting
• Learning to Generate Synthetic Data via Compositing
• Co-Separating Sounds of Visual Objects
• LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds
• Robust and Label-Efficient Deep Waste Detection
• Are All Marine Species Created Equal? Performance Disparities in Underwater Object Detection
• Clustering-based Feature Representation Learning for Oracle Bone Inscriptions Detection
• Object Detection for Comics using Manga109 Annotations
• Why Do We Click: Visual Impression-aware News Recommendation
• Adaptive Visual Navigation Assistant in 3D RPGs
• Object Detection with Multimodal Large Vision-Language Models: An In-depth Review
• A Deep Journey into Super-resolution: A survey
• Deep Learning Inference in Facebook Data Centers: Characterization,\n Performance Optimizations and Hardware Implications
• AQ-PCDSys: An Adaptive Quantized Planetary Crater Detection System for Autonomous Space Exploration
• Elucidating image-to-set prediction: An analysis of models, losses and\n datasets
• Revisiting the Sibling Head in Object Detector
• Multi-perspective monitoring of wildlife and human activities from camera traps and drones with deep learning models
• Learning Object Relation Graph and Tentative Policy for Visual Navigation
• SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection
• Learning to Fuse Things and Stuff
• YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
• Decentralized Vision-Based Autonomous Aerial Wildlife Monitoring
• Understanding top-down attention using task-oriented ablation design
• CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
• Incremental Object Detection with Prompt-based Methods
• Toward unsupervised, multi-object discovery in large-scale image\n collections
• Towards Precise End-to-end Weakly Supervised Object Detection Network
• CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling
• Normalized Cut Loss for Weakly-supervised CNN Segmentation
• AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
• A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environment
• Revisiting Knowledge Distillation for Object Detection
• CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection
• OmViD: Omni-supervised active learning for video action detection
• Large Scale Visual Food Recognition
• Self-Aware Adaptive Alignment: Enabling Accurate Perception for Intelligent Transportation Systems
• Bidirectional Regression for Arbitrary-Shaped Text Detection
• FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
• MF-LPR²: Multi-Frame License Plate Image Restoration and Recognition using Optical Flow
• ICNet for Real-Time Semantic Segmentation on High-Resolution Images
• Gaussian Temporal Awareness Networks for Action Localization
• RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection
• Domain Adaptation and Image Classification via Deep Conditional Adaptation Network
• Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
• Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
• G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features
• supervised adptive threshold network for instance segmentation
• vireoJD-MM at Activity Detection in Extended Videos
• Bounding Box Regression with Uncertainty for Accurate Object Detection
• Multi-Person Pose Estimation with Local Joint-to-Person Associations
• Design and Validation of a Responsible Artificial Intelligence-based System for the Referral of Diabetic Retinopathy Patients
• A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention
• Long Short-Term Relation Networks for Video Action Detection
• Deep Contextual Attention for Human-Object Interaction Detection
• Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors
• A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks
• Data Shift of Object Detection in Autonomous Driving
• Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance View
• Automated Model Evaluation for Object Detection via Prediction Consistency and Reliability
• PEdger++: Practical Edge Detection via Assembling Cross Information
• TACR-YOLO: A Real-time Detection Framework for Abnormal Human Behaviors Enhanced with Coordinate and Task-Aware Representations
• MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation
• Spatial-Temporal Relation Networks for Multi-Object Tracking
• A Real-time Concrete Crack Detection and Segmentation Model Based on YOLOv11
• Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis
• HOID-R1: Reinforcement Learning for Open-World Human-Object Interaction Detection Reasoning with Multimodal Large Language Model
• Index-Aligned Query Distillation for Transformer-based Incremental Object Detection
• Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception
• Two-Level Residual Distillation based Triple Network for Incremental Object Detection
• Adma: A Flexible Loss Function for Neural Networks
• Generic Tubelet Proposals for Action Localization
• A Coarse-to-Fine Human Pose Estimation Method based on Two-stage Distillation and Progressive Graph Neural Network
• VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection
• Are Large Pre-trained Vision Language Models Effective Construction Safety Inspectors?
• Graph-Based Social Relation Reasoning
• Axis-level Symmetry Detection with Group-Equivariant Representation
• EventNet: Asynchronous Recursive Event Processing
• LGA-RCNN: Loss-Guided Attention for Object Detection
• A Segmentation-driven Editing Method for Bolt Defect Augmentation and Detection
• CSNR and JMIM Based Spectral Band Selection for Reducing Metamerism in Urban Driving
• Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
• Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving
• SkeySpot: Automating Service Key Detection for Digital Electrical Layout Plans in the Construction Industry
• CTAP: Complementary Temporal Action Proposal Generation
• Improving OCR for Historical Texts of Multiple Languages
• Glo-UMF: A Unified Multi-model Framework for Automated Morphometry of Glomerular Ultrastructural Characterization
• From Surface to Semantics: Semantic Structure Parsing for Table-Centric Document Analysis
• Image Captioning with Visual Object Representations Grounded in the Textual Modality
• BERT-VQA: Visual Question Answering on Plots
• A Structured Model For Action Detection
• Deep Learning Acceleration Techniques for Real Time Mobile Vision Applications
• iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection
• Shift Equivariance in Object Detection
• Progressive Sparse Local Attention for Video object detection
• SynSpill: Improved Industrial Spill Detection With Synthetic Data
• Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images
• TOTNet: Occlusion-Aware Temporal Tracking for Robust Ball Detection in Sports Videos
• MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures
• SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels
• How benign is benign overfitting?
• ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks
• What-Meets-Where: Unified Learning of Action and Contact Localization in a New Dataset
• Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation
• EXSCLAIM! -- An automated pipeline for the construction of labeled materials imaging datasets from literature
• DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection
• Person Identification with Visual Summary for a Safe Access to a Smart Home
• CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking
• Dual-stream Network for Visual Recognition
• Geometry-Aware Global Feature Aggregation for Real-Time Indirect Illumination
• Beyond the Camera: Neural Networks in World Coordinates
• Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation
• QueryCraft: Transformer-Guided Query Initialization for Enhanced Human-Object Interaction Detection
• Video-based Person Re-identification without Bells and Whistles
• Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases
• SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images
• One-Shot Instance Segmentation
• Designing Object Detection Models for TinyML: Foundations, Comparative Analysis, Challenges, and Emerging Solutions
• Instance-Level Task Parameters: A Robust Multi-task Weighting Framework
• Speaker Diarization with Region Proposal Network
• ZSTAD: Zero-Shot Temporal Activity Detection
• Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning
• Self-Supervised Representation Learning for Visual Anomaly Detection
• MambaTrans: Multimodal Fusion Image Translation via Large Language Model Priors for Downstream Visual Tasks
• DoorDet: Semi-Automated Multi-Class Door Detection Dataset via Object Detection and Large Language Models
• Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding
• AURA: A Fine-Grained Benchmark and Decomposed Metric for Audio-Visual Reasoning
• Visual Dialogue State Tracking for Question Generation
• Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
• LungSurg: A Generative AI System for Segmentation and Phase Classification in Thoracoscopic Lobectomy
• LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography
• WQT and DG-YOLO: towards domain generalization in underwater object detection
• Training few-shot classification via the perspective of minibatch and pretraining
• Data Priming Network for Automatic Check-Out
• CornerNet: Detecting Objects as Paired Keypoints
• Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images
• Neural Mesh Refiner for 6-DoF Pose Estimation
• WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range
• Understanding Egocentric Hand-Object Interactions from Hand Pose Estimation
• Synthetic Data-Driven Multi-Architecture Framework for Automated Polyp Segmentation Through Integrated Detection and Mask Generation
• CountQA: How Well Do MLLMs Count in the Wild?
• Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction
• Head Anchor Enhanced Detection and Association for Crowded Pedestrian Tracking
• Physical Adversarial Camouflage through Gradient Calibration and Regularization
• mKG-RAG: Multimodal Knowledge Graph-Enhanced RAG for Visual Question Answering
• Segmenting the Complex and Irregular in Two-Phase Flows: A Real-World Empirical Study with SAM2
• Contextual Object Detection with Multimodal Large Language Models
• Parts4Feature: Learning 3D Global Features from Generally Semantic Parts\n in Multiple Views
• Self-Error Adjustment: Theory and Practice of Balancing Individual Performance and Diversity in Ensemble Learning
• Disentangled Deep Autoencoding Regularization for Robust Image Classification
• Benchmarking pig detection and tracking under diverse and challenging conditions
• TopKD: Top-scaled Knowledge Distillation
• A Smartphone-based System for Real-time Early Childhood Caries Diagnosis
• What Holds Back Open-Vocabulary Segmentation?
• UniFGVC: Universal Training-Free Few-Shot Fine-Grained Vision Classification via Attribute-Aware Multimodal Retrieval
• Learning Using Privileged Information for Litter Detection
• CLIPVehicle: A Unified Framework for Vision-based Vehicle Search
• Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters
• Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension
• Deep learning framework for crater detection and identification on the Moon and Mars
• Training Deep Neural Networks via Branch-and-Bound
• GPNAS: A Neural Network Architecture Search Framework Based on Graphical Predictor
• DyCAF-Net: Dynamic Class-Aware Fusion Network
• Relationship-Embedded Representation Learning for Grounding Referring Expressions
• AVPDN: Learning Motion-Robust and Scale-Adaptive Representations for Video-Based Polyp Detection
• Where are the Masks: Instance Segmentation with Image-level Supervision
• The Research of the Real-time Detection and Recognition of Targets in Streetscape Videos
• Temporally Identity-Aware SSD with Attentional LSTM
• Open-Vocabulary HOI Detection with Interaction-aware Prompt and Concept Calibration
• Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization
• TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications
• Adversarial Attention Perturbations for Large Object Detection Transformers
• Online Active Proposal Set Generation for Weakly Supervised Object Detection
• Architectural Insights into Knowledge Distillation for Object Detection: A Comprehensive Review
• Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network
• CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles
• Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images
• Evaluation and Analysis of Deep Neural Transformers and Convolutional Neural Networks on Modern Remote Sensing Datasets
• BiFNet: Bidirectional Fusion Network for Road Segmentation
• Towards Compact and Robust Deep Neural Networks
• Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes
• Self-Supervised YOLO: Leveraging Contrastive Learning for Label-Efficient Object Detection
• Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
• YOLOv1 to YOLOv11: A Comprehensive Survey of Real-Time Object Detection Innovations and Challenges
• Robust Real-time Pedestrian Detection in Aerial Imagery on Jetson TX2
• Benchmarking Deep Learning-Based Object Detection Models on Feature Deficient Astrophotography Imagery Dataset
• Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks
• InspectVLM: Unified in Theory, Unreliable in Practice
• IAUNet: Instance-Aware U-Net
• TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos
• Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation
• Spatial-Frequency Aware for Object Detection in RAW Image
• A Full-Stage Refined Proposal Algorithm for Suppressing False Positives in Two-Stage CNN-Based Detection Methods
• Geometry-Aware Video Object Detection for Static Cameras
• Multi-Scale Time-Frequency Attention for Acoustic Event Detection
• Screencast-Based Analysis of User-Perceived GUI Responsiveness
• SBP-YOLO:A Lightweight Real-Time Model for Detecting Speed Bumps and Potholes toward Intelligent Vehicle Suspension Systems
• Tobler's First Law in GeoAI: A Spatially Explicit Deep Learning Model for Terrain Feature Detection Under Weak Supervision
• AI-Driven Collaborative Satellite Object Detection for Space Sustainability
• Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
• Disrupting Semantic and Abstract Features for Better Adversarial Transferability
• Residual-CNDS for Grand Challenge Scene Dataset
• Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
• CoST: Efficient Collaborative Perception From Unified Spatiotemporal Perspective
• Backdoor Attacks on Deep Learning Face Detection
• Relation Networks for Object Detection
• DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction
• Fruit Quantity and Quality Estimation using a Robotic Vision System
• Dynamic Temporal Pyramid Network: A Closer Look at Multi-Scale Modeling for Activity Detection
• Human Motion Capture Using a Drone
• AugFPN: Improving Multi-scale Feature Learning for Object Detection
• Saliency-Guided Attention Network for Image-Sentence Matching
• Local Dense Logit Relations for Enhanced Knowledge Distillation
• SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
• Tricks and Plug-ins for Gradient Boosting in Image Classification
• The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
• Scalable Change Retrieval Using Deep 3D Neural Codes
• Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future
• DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction
• Exploiting Diffusion Prior for Task-driven Image Restoration
• Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving
• StarNet: Targeted Computation for Object Detection in Point Clouds
• FDNAS: Improving Data Privacy and Model Diversity in AutoML
• Object Recognition Datasets and Challenges: A Review
• A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles
• AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock
• Staining and locking computer vision models without retraining
• SARD: A YOLOv8-Based System for Solar Active Region Detection with SDO/HMI Magnetograms
• Transferring Domain-Agnostic Knowledge in Video Question Answering
• Control Copy-Paste: Controllable Diffusion-Based Augmentation Method for Remote Sensing Few-Shot Object Detection
• Entropy-Enhanced Multimodal Attention Model for Scene-Aware Dialogue Generation
• RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing
• Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations
• Transferable Adversarial Examples for Anchor Free Object Detection
• Automated Detection of Antarctic Benthic Organisms in High-Resolution In Situ Imagery to Aid Biodiversity Monitoring
• Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
• Tracking Moose using Aerial Object Detection
• Dual Guidance Semi-Supervised Action Detection
• On Explaining Visual Captioning with Hybrid Markov Logic Networks
• A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
• Real-time Visual Object Tracking with Natural Language Description
• Context-Aware Single-Shot Detector
• Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision
• Ensemble Foreground Management for Unsupervised Object Discovery
• Regularizing Subspace Redundancy of Low-Rank Adaptation
• Instance Segmentation with Point Supervision
• Object 6D Pose Estimation with Non-local Attention
• Self-Supervised Continuous Colormap Recovery from a 2D Scalar Field Visualization without a Legend
• Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
• Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
• An Improved YOLOv8 Approach for Small Target Detection of Rice Spikelet Flowering in Field Environments
• Sparse 3D Perception for Rose Harvesting Robots: A Two-Stage Approach Bridging Simulation and Real-World Applications
• TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion
• MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
• Few-Shot Object Detection via Spatial-Channel State Space Model
• One-Shot Domain Adaptation For Face Generation
• AnimalClue: Recognizing Animals by their Traces
• Layerwise Optimization by Gradient Decomposition for Continual Learning
• Towards Universal Modal Tracking with Online Dense Temporal Token Learning
• Region-based Cluster Discrimination for Visual Representation Learning
• Seesaw Loss for Long-Tailed Instance Segmentation
• Spatial Language Likelihood Grounding Network for Bayesian Fusion of Human-Robot Observations
• Rethinking on Multi-Stage Networks for Human Pose Estimation
• Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection
• Visual Tracking via Dynamic Memory Networks
• A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis
• Adaptive Label Smoothing
• Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network
• RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users
• A²-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
• Modeling Spatio-Temporal Human Track Structure for Action Localization
• Incremental Learning for Robot Perception through HRI
• MITOS-RCNN: A Novel Approach to Mitotic Figure Detection in Breast Cancer Histopathology Images using Region Based Convolutional Neural Networks
• RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge
• Two-phase weakly supervised object detection with pseudo ground truth mining
• CentripetalText: An Efficient Text Instance Representation for Scene\n Text Detection
• Towards Holistic Surgical Scene Graph
• AlteregoNets: a way to human augmentation
• Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
• 6-DoF Object Pose from Semantic Keypoints
• Interpretable Open-Vocabulary Referring Object Detection with Reverse Contrast Attention
• ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking
• OW-CLIP: Data-Efficient Visual Supervision for Open-World Object Detection via Human-AI Collaboration
• X-Linear Attention Networks for Image Captioning
• DS-Det: Single-Query Paradigm and Attention Disentangled Learning for Flexible Object Detection
• JDATT: A Joint Distillation Framework for Atmospheric Turbulence Mitigation and Target Detection
• Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation
• GLSD: The Global Large-Scale Ship Database and Baseline Evaluations
• Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and beyond
• PhysVarMix: Physics-Informed Variational Mixture Model for Multi-Modal Trajectory Prediction
• Towards a Robust Deep Neural Network in Texts: A Survey
• ABCD: Automatic Blood Cell Detection via Attention-Guided Improved YOLOX
• Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
• Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
• Enhancing Diabetic Retinopathy Classification Accuracy through Dual Attention Mechanism in Deep Learning
• Towards Cross-Modal Forgery Detection and Localization on Live Surveillance Videos
• Revisiting DETR for Small Object Detection via Noise-Resilient Query Optimization
• YOLO for Knowledge Extraction from Vehicle Images: A Baseline Study
• PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection
• WiSE-OD: Benchmarking Robustness in Infrared Object Detection
• Target Driven Instance Detection
• Plot and Rework: Modeling Storylines for Visual Storytelling
• Unsupervised Hard Example Mining from Videos for Improved Object Detection
• LMM-Det: Make Large Multimodal Models Excel in Object Detection
• VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
• Multi-adversarial Faster-RCNN for Unrestricted Object Detection
• A COCO-Formatted Instance-Level Dataset for Plasmodium Falciparum Detection in Giemsa-Stained Blood Smears
• TCM-Tongue: A Standardized Tongue Image Dataset with Pathological Annotations for AI-Assisted TCM Diagnosis
• Few-shot Learning with Global Relatedness Decoupled-Distillation
• Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles
• Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval
• Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
• Towards Generalized and Incremental Few-Shot Object Detection
• Fast query-by-example speech search using separable model
• Learning Context-Aware Embedding for Person Search
• BleedOrigin: Dynamic Bleeding Source Localization in Endoscopic Submucosal Dissection via Dual-Stage Detection and Tracking
• Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection
• Reverse-engineering Bar Charts Using Neural Networks
• Diffusion-FS: Multimodal Free-Space Prediction via Diffusion for Autonomous Driving
• Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection
• Language-Conditioned Imitation Learning for Robot Manipulation Tasks
• Detecting Semantic Parts on Partially Occluded Objects
• 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
• Object-Centric Unsupervised Image Captioning
• DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling
• Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
• Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery
• An End-to-End Foreground-Aware Network for Person Re-Identification
• C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
• InsightX Agent: An LMM-based Agentic Framework with Integrated Tools for Reliable X-ray NDT Analysis
• Distilling Object Detectors with Feature Richness
• SOLO: Segmenting Objects by Locations
• Baidu-UTS Submission to the EPIC-Kitchens Action Recognition Challenge 2019
• Localization-aware Channel Pruning for Object Detection
• Focal and Global Knowledge Distillation for Detectors
• Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language
• PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack
• ShuffleDet: Real-Time Vehicle Detection Network in On-board Embedded UAV\n Imagery
• Spatio-temporal Video Re-localization by Warp LSTM
• A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models
• LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering
• Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System
• RarePlanes: Synthetic Data Takes Flight
• Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation
• Large Scale Font Independent Urdu Text Recognition System
• Low-light Image Enhancement Algorithm Based on Retinex and Generative Adversarial Network
• Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
• SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval
• Image De-raining Using a Conditional Generative Adversarial Network
• Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
• Detecting Small, Densely Distributed Objects with Filter-Amplifier Networks and Loss Boosting
• Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN Models for Facial Tracking
• Context-Aware Zero-Shot Recognition
• Domain Adaptor Networks for Hyperspectral Image Recognition
• Merging Tasks for Video Panoptic Segmentation
• Improving Contrastive Learning by Visualizing Feature Transformation
• Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
• Rethinking Drone-Based Search and Rescue with Aerial Person Detection
• Exploring Semantic Relationships for Unpaired Image Captioning
• TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples
• Saliency deep embedding for aurora image search
• When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous
• Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation
• Machine Vision for Improved Human-Robot Cooperation in Adverse Underwater Conditions
• Decoupled PROB: Decoupled Query Initialization Tasks and Objectness-Class Learning for Open World Object Detection
• Channel-wise Motion Features for Efficient Motion Segmentation
• SECS: Efficient Deep Stream Processing via Class Skew Dichotomy
• Pneumothorax Segmentation: Deep Learning Image Segmentation to predict Pneumothorax
• f-Cal: Calibrated aleatoric uncertainty estimation from neural\n networks for robot perception
• Self-EMD: Self-Supervised Object Detection without ImageNet
• 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
• Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection
• Point in, Box out: Beyond Counting Persons in Crowds
• Labeled Data Generation with Inexact Supervision
• PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text
• Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery
• ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection
• S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
• Open-World Entity Segmentation
• Negative Margin Matters: Understanding Margin in Few-shot Classification
• Image Augmentations for GAN Training
• Multispectral State-Space Feature Fusion: Bridging Shared and Cross-Parametric Interactions for Object Detection
• Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations
• An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians
• MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
• Faceness-Net: Face Detection through Deep Facial Part Responses
• Context and Attribute Grounded Dense Captioning
• Issues in Object Detection in Videos using Common Single-Image CNNs
• Unpaired Pose Guided Human Image Generation
• Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior
• BoundarySqueeze: Image Segmentation as Boundary Squeezing
• Open Domain Generalization with Domain-Augmented Meta-Learning
• PP-YOLOv2: A Practical Object Detector
• Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection
• Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation
• LIT: Light-field Inference of Transparency for Refractive Object Localization
• RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation
• Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation
• Semi-convolutional Operators for Instance Segmentation
• CornerNet-Lite: Efficient Keypoint Based Object Detection
• Residual Attention based Network for Hand Bone Age Assessment
• PubLayNet: largest dataset ever for document layout analysis
• HiFT: Hierarchical Feature Transformer for Aerial Tracking
• T-EMDE: Sketching-based global similarity for cross-modal retrieval
• SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing
• Empirical Upper Bound in Object Detection and More
• Human Following for Wheeled Robot with Monocular Pan-tilt Camera
• Rethinking Natural Adversarial Examples for Classification Models
• Driver Action Prediction Using Deep (Bidirectional) Recurrent Neural Network
• Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning
• Natural Language Video Localization with Learnable Moment Proposals
• Visual Concepts and Compositional Voting
• Reusing Attention for One-stage Lane Topology Understanding
• Dynamic Scoring with Enhanced Semantics for Training-Free Human-Object Interaction Detection
• Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection
• A Picture May Be Worth a Hundred Words for Visual Question Answering
• RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding
• Phase Space Reconstruction Network for Lane Intrusion Action Recognition
• Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model
• Joint 2D-3D Breast Cancer Classification
• CPARR: Category-based Proposal Analysis for Referring Relationships
• FishDet-M: A Unified Benchmark for Underwater Fish Detection with CLIP-Guided Model Selection
• Shape Robust Text Detection with Progressive Scale Expansion Network
• Epipolar-Guided Deep Object Matching for Scene Change Detection
• Few-Shot Learning in Video and 3D Object Detection: A Survey
• Can 3D Adversarial Logos Cloak Humans?
• X-volution: On the unification of convolution and self-attention
• Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
• TracKlinic: Diagnosis of Challenge Factors in Visual Tracking
• A Hypergradient Approach to Robust Regression without Correspondence
• Using UAV images and deep learning to enhance the mapping of deadwood in boreal forests
• FishNet: A Camera Localizer using Deep Recurrent Networks
• LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation
• Temporal RoI Align for Video Object Recognition
• Interact as You Intend: Intention-Driven Human-Object Interaction Detection
• Semantic-guided Fine-tuning of Foundation Model for Long-tailed Visual Recognition
• RS-TinyNet: Stage-wise Feature Fusion Network for Detecting Tiny Objects in Remote Sensing Images
• DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
• CFENet: An Accurate and Efficient Single-Shot Object Detector for Autonomous Driving
• SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery
• Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images
• Funnel-HOI: Top-Down Perception for Zero-Shot HOI Detection
• Improve bone age assessment by learning from anatomical local regions
• Universal Physical Camouflage Attacks on Object Detectors
• Frequency-Dynamic Attention Modulation for Dense Prediction
• Search Spaces for Neural Model Training
• InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization
• Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks
• An Attention Module for Convolutional Neural Networks
• Video Foundation Models for Animal Behavior Analysis
• Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification
• HR-RCNN: Hierarchical Relational Reasoning for Object Detection
• COVR: A test-bed for Visually Grounded Compositional Generalization with real images
• UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
• Pretraining Techniques for Sequence-to-Sequence Voice Conversion
• Location-Aware Feature Selection Text Detection Network
• Prediction-Tracking-Segmentation
• ObjectNet Dataset: Reanalysis and Correction
• Multi-person Articulated Tracking with Spatial and Temporal Embeddings
• ClipCap: CLIP Prefix for Image Captioning
• Exploiting Contextual Information with Deep Neural Networks
• Sperm Detection and Tracking in Phase-Contrast Microscopy Image Sequences using Deep Learning and Modified CSR-DCF
• SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation
• OVANet: One-vs-All Network for Universal Domain Adaptation
• Enhancing Object Detection in Adverse Conditions using Thermal Imaging
• MovieNet: A Holistic Dataset for Movie Understanding
• DIODE: Dilatable Incremental Object Detection
• TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
• CenterMask: single shot instance segmentation with point representation
• Learning Orientation-Estimation Convolutional Neural Network for Building Detection in Optical Remote Sensing Image
• Towards End-to-End Text Spotting in Natural Scenes
• Pointly-Supervised Instance Segmentation
• Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
• Adaptive Object Detection Using Adjacency and Zoom Prediction
• A survey of Object Classification and Detection based on 2D/3D data
• Weakly Supervised Dataset Collection for Robust Person Detection
• Convolutional Neural Networks for User Identificationbased on Motion\n Sensors Represented as Image
• Cascade R-CNN: High Quality Object Detection and Instance Segmentation
• A Multimodal Sentiment Dataset for Video Recommendation
• Adaptive Multi-scale Detection of Acoustic Events
• PSC-Net: Learning Part Spatial Co-occurrence for Occluded Pedestrian Detection
• SIFT Meets CNN: A Decade Survey of Instance Retrieval
• DR Loss: Improving Object Detection by Distributional Ranking
• Face Parsing with RoI Tanh-Warping
• Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors
• IAN: The Individual Aggregation Network for Person Search
• Sequential End-to-end Network for Efficient Person Search
• Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
• Universal Adversarial Perturbations: A Survey
• Stabilized Medical Image Attacks
• Multi-Scale Attention Network for Crowd Counting
• Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks
• NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks
• A Training-free, One-shot Detection Framework For Geospatial Objects In Remote Sensing Images
• Self-Supervised Learning for Semi-Supervised Temporal Action Proposal
• EAdam Optimizer: How ε Impact Adam
• Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
• Semantic Image Manipulation Using Scene Graphs
• Relevance Attack on Detectors
• FrostNet: Towards Quantization-Aware Network Architecture Search
• Deep neural networks can be improved using human-derived contextual expectations
• Exploring Low-light Object Detection Techniques
• Boosting ship detection in SAR images with complementary pretraining techniques
• A Video Analysis Method on Wanfang Dataset via Deep Neural Network
• Back to Simplicity: How to Train Accurate BNNs from Scratch?
• Object-aware Feature Aggregation for Video Object Detection
• Making History Matter: History-Advantage Sequence Training for Visual Dialog
• Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering
• Universal Adder Neural Networks
• Panoptic Feature Pyramid Networks
• Multi-Person Pose Estimation with Enhanced Feature Aggregation and Selection
• Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
• Regularizing Neural Networks via Stochastic Branch Layers
• DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
• LyAm: Robust Non-Convex Optimization for Stable Learning in Noisy Environments
• Learning non-maximum suppression
• Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
• CASIA-Face-Africa: A Large-scale African Face Image Database
• Learning a metacognition for object perception
• On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery
• PanoNet3D: Combining Semantic and Geometric Understanding for LiDARPoint Cloud Detection
• A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection
• Dense Multiscale Feature Fusion Pyramid Networks for Object Detection in UAV-Captured Images
• Deformable Tube Network for Action Detection in Videos
• Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and\n Benchmark
• Discovering Spatio-Temporal Action Tubes
• GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative Spacecraft
• A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects
• Combining Transformers and CNNs for Efficient Object Detection in High-Resolution Satellite Imagery
• Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection
• Object-Centric Mobile Manipulation through SAM2-Guided Perception and Imitation Learning
• OOWL500: Overcoming Dataset Collection Bias in the Wild
• Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection
• CNN-based Density Estimation and Crowd Counting: A Survey
• Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
• 1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021
• Deep Co-Training for Semi-Supervised Image Recognition
• Fine-Grained Zero-Shot Object Detection
• Aggregated Residual Transformations for Deep Neural Networks
• ContourRend: A Segmentation Method for Improving Contours by Rendering
• Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification
• Neighbourhood Distillation: On the benefits of non end-to-end distillation
• SlumpGuard: An AI-Powered Real-Time System for Automated Concrete Slump Prediction via Video Analysis
• Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association
• 3DGAA: Realistic and Robust 3D Gaussian-based Adversarial Attack for Autonomous Driving
• Measuring the Impact of Rotation Equivariance on Aerial Object Detection
• Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models
• Two is a crowd: tracking relations in videos
• Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training
• LLM-Guided Agentic Object Detection for Open-World Understanding
• WebVision Challenge: Visual Learning and Understanding With Web Data
• Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
• Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking
• Channel-wise Alignment for Adaptive Object Detection
• SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
• Ambiguity-Aware and High-Order Relation Learning for Multi-Grained Image-Text Matching
• TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge
• Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection
• RoHOI: Robustness Benchmark for Human-Object Interaction Detection
• Progressive Cross-Stream Cooperation in Spatial and Temporal Domain for Action Localization
• Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking
• Move to See Better: Self-Improving Embodied Object Detection
• Knowledge-Enriched Visual Storytelling
• Certainty Driven Consistency Loss on Multi-Teacher Networks for Semi-Supervised Learning
• Visual Semantic Description Generation with MLLMs for Image-Text Matching
• Unified People Tracking with Graph Neural Networks
• Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset
• Cross-Resolution SAR Target Detection Using Structural Hierarchy Adaptation and Reliable Adjacency Alignment
• Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
• Language and Visual Entity Relationship Graph for Agent Navigation
• Neighbor-view Enhanced Model for Vision and Language Navigation
• Oriented Objects as pairs of Middle Lines
• Towards Detection of Sheep Onboard a UAV
• Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework
• Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
• 3D-ADAM: A Dataset for 3D Anomaly Detection in Additive Manufacturing
• Rainbow Artifacts from Electromagnetic Signal Injection Attacks on Image Sensors
• A Hybrid Multilayer Extreme Learning Machine for Image Classification with an Application to Quadcopters
• 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
• Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
• Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale
• A model-agnostic active learning approach for animal detection from camera traps
• Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting
• Deep Learning Techniques for Future Intelligent Cross-Media Retrieval
• Mask6D: Masked Pose Priors For 6D Object Pose Estimation
• Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
• LOVON: Legged Open-Vocabulary Object Navigator
• What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studies
• VisioPath: Vision-Language Enhanced Model Predictive Control for Safe Autonomous Navigation in Mixed Traffic
• Contrastive and Transfer Learning for Effective Audio Fingerprinting through a Real-World Evaluation Protocol
• SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning
• Vision Based Picking System for Automatic Express Package Dispatching
• DREAM: Document Reconstruction via End-to-end Autoregressive Model
• Learning to Reconstruct and Segment 3D Objects
• SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud
• DeepApple: Deep Learning-based Apple Detection using a Suppression Mask R-CNN
• Self-Knowledge Distillation with Progressive Refinement of Targets
• Batch Normalization with Enhanced Linear Transformation
• Learning Human-Object Interactions by Graph Parsing Neural Networks
• R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding
• A Selective Survey on Versatile Knowledge Distillation Paradigm for Neural Network Models
• TigAug: Data Augmentation for Testing Traffic Light Detection in Autonomous Driving Systems
• YOLO-APD: Enhancing YOLOv8 for Robust Pedestrian Detection on Complex Road Geometries
• Using Cross-Model EgoSupervision to Learn Cooperative Basketball Intention
• ReFormer: The Relational Transformer for Image Captioning
• Self-Supervised Real-Time Tracking of Military Vehicles in Low-FPS UAV Footage
• Monocular 3D Object Detection and Box Fitting Trained End-to-End Using\n Intersection-over-Union Loss
• HGNet: High-Order Spatial Awareness Hypergraph and Multi-Scale Context Attention Network for Colorectal Polyp Detection
• Visual identification of individual Holstein-Friesian cattle via deep metric learning
• Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
• LabelEnc: A New Intermediate Supervision Method for Object Detection
• Few-Shot Transformation of Common Actions into Time and Space
• DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation
• Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor
• DMAT: An End-to-End Framework for Joint Atmospheric Turbulence Mitigation and Object Detection
• Early Convolutions Help Transformers See Better
• ASFormer: Transformer for Action Segmentation
• Just Add Geometry: Gradient-Free Open-Vocabulary 3D Detection Without Human-in-the-Loop
• Overcoming Statistical Shortcuts for Open-ended Visual Counting
• Self-supervised Object Tracking with Cycle-consistent Siamese Networks
• CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis
• T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images
• Unsupervised data augmentation for object detection
• An Empirical Study of Spatial Attention Mechanisms in Deep Networks
• Universal Bounding Box Regression and Its Applications
• Answer Them All! Toward Universal Visual Question Answering Models
• MRC-DETR: An Adaptive Multi-Residual Coupled Transformer for Bare Board PCB Defect Detection
• R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving
• C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
• Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting
• SOLQ: Segmenting Objects by Learning Queries
• Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers
• Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives
• i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
• Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data
• Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking
• Local Metrics for Multi-Object Tracking
• Malignancy Prediction and Lesion Identification from Clinical Dermatological Images
• CircleNet: Anchor-free Detection with Circle Representation
• Automatic Labelling for Low-Light Pedestrian Detection
• FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
• MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention
• CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios
• A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern
• The Problem of Fragmented Occlusion in Object Detection
• DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video
• Tomato plant disease detection using transfer learning with C-GAN synthetic images
• Robust Real-Time Pedestrian Detection on Embedded Devices
• Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark
• TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
• Dynamic Refinement Network for Oriented and Densely Packed Object Detection
• Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
• Domain Adaptation without Source Data
• DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy
• I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
• Integrating Traditional and Deep Learning Methods to Detect Tree Crowns in Satellite Images
• Affordance Transfer Learning for Human-Object Interaction Detection
• Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection
• 3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation
• SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
• NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation
• Active Measurement: Efficient Estimation at Scale
• Robust Component Detection for Flexible Manufacturing: A Deep Learning Approach to Tray-Free Object Recognition under Variable Lighting
• High-Frequency Semantics and Geometric Priors for End-to-End Detection Transformers in Challenging UAV Imagery
• UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement
• De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection
• Disentangling Label Distribution for Long-tailed Visual Recognition
• m-RevNet: Deep Reversible Neural Networks with Momentum
• Customizable ROI-Based Deep Image Compression
• Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions
• Amodal Instance Segmentation
• AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection
• X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line Segments
• A Revised Generative Evaluation of Visual Dialogue
• DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
• Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
• SelvaBox: A high-resolution dataset for tropical tree crown detection
• Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network
• Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes?
• PBCAT: Patch-based composite adversarial training against physically realizable attacks on object detection
• Event-based Tiny Object Detection: A Benchmark Dataset and Baseline
• Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation
• Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine\n Blades From Drone Imagery
• TOOD: Task-aligned One-stage Object Detection
• Data Augmentation Revisited: Rethinking the Distribution Gap between\n Clean and Augmented Data
• Achieving Human Parity on Visual Question Answering
• Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
• DirectPose: Direct End-to-End Multi-Person Pose Estimation
• Linear Context Transform Block
• MiniVLM: A Smaller and Faster Vision-Language Model
• OGNet: Salient Object Detection with Output-guided Attention Module
• Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage
• Person-in-WiFi: Fine-grained Person Perception using WiFi
• CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency
• DGE-YOLO: Dual-Branch Gathering and Attention for Accurate UAV Object Detection
• Transformer-Based Person Search with High-Frequency Augmentation and Multi-Wave Mixing
• Dont Even Look Once: Synthesizing Features for Zero-Shot Detection
• Attention to the Burstiness in Visual Prompt Tuning!
• Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception
• A survey of human-in-the-loop for machine learning
• VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding
• Dual-Level Collaborative Transformer for Image Captioning
• Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
• A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation
• Improving Token-based Object Detection with Video
• Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection
• Contextual Heterogeneous Graph Network for Human-Object Interaction Detection
• Learning Human-Object Interaction Detection using Interaction Points
• Social Adaptive Module for Weakly-supervised Group Activity Recognition
• Detecting Text in the Wild with Deep Character Embedding Network
• Disaster mapping from satellites: damage detection with crowdsourced\n point labels
• Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment
• Object Tracking Using Spatio-Temporal Future Prediction
• Pixels-to-Graph: Real-time Integration of Building Information Models and Scene Graphs for Semantic-Geometric Human-Robot Understanding
• CARAFE++: Unified Content-Aware ReAssembly of FEatures
• Energy Drain of the Object Detection Processing Pipeline for Mobile Devices: Analysis and Implications
• TITAN: Query-Token based Domain Adaptive Adversarial Learning
• VideoMix: Rethinking Data Augmentation for Video Classification
• YOLO-FDA: Integrating Hierarchical Attention and Detail Enhancement for Surface Defect Detection
• EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception
• Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features
• Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability
• Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
• Style-Aligned Image Composition for Robust Detection of Abnormal Cells in Cytopathology
• 3D for Free: Crossmodal Transfer Learning using HD Maps
• THAT: Two Head Adversarial Training for Improving Robustness at Scale
• REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter
• LogoDet-3K: A Large-Scale Image Dataset for Logo Detection
• Class-Agnostic Region-of-Interest Matching in Document Images
• Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection
• LiDAR point-cloud processing based on projection methods: a comparison
• Implicit Saliency in Deep Neural Networks
• Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval
• Dense Video Captioning using Graph-based Sentence Summarization
• Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos
• AeroLite-MDNet: Lightweight Multi-task Deviation Detection Network for UAV Landing
• Feature Hallucination for Self-supervised Action Recognition
• From Codicology to Code: A Comparative Study of Transformer and YOLO-based Detectors for Layout Analysis in Historical Documents
• Scalable Dynamic Origin-Destination Demand Estimation Enhanced by High-Resolution Satellite Imagery Data
• Investigating Attention Mechanism in 3D Point Cloud Object Detection
• Geometry Normalization Networks for Accurate Scene Text Detection
• AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training
• Memory Enhanced Global-Local Aggregation for Video Object Detection
• Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity
• USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation
• Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises
• Progressive Modality Cooperation for Multi-Modality Domain Adaptation
• Deep Reasoning with Knowledge Graph for Social Relationship Understanding
• Disentangled Motif-aware Graph Learning for Phrase Grounding
• Joint Deep Learning of Facial Expression Synthesis and Recognition
• InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling
• USVTrack: USV-Based 4D Radar-Camera Tracking Dataset for Autonomous Driving in Inland Waterways
• Mask-GD Segmentation Based Robotic Grasp Detection
• Dual-Forward Path Teacher Knowledge Distillation: Bridging the Capacity Gap Between Teacher and Student
• Spatial-temporal Fusion Convolutional Neural Network for Simulated Driving Behavior Recognition
• Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
• HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs
• Pattern-Based Phase-Separation of Tracer and Dispersed Phase Particles in Two-Phase Defocusing Particle Tracking Velocimetry
• On the Robustness of Human-Object Interaction Detection against Distribution Shift
• Feedback Driven Multi Stereo Vision System for Real-Time Event Analysis
• Segmentation Mask Guided End-to-End Person Search
• A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation
• YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception
• CSDN: A Context-Gated Self-Adaptive Detection Network for Real-Time Object Detection
• DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving
• HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks
• RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
• On Feature Normalization and Data Augmentation
• Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
• Unsupervised Pre-training for Person Re-identification
• CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
• Class Agnostic Instance-level Descriptor for Visual Instance Search
• Cross-modal Offset-guided Dynamic Alignment and Fusion for Weakly Aligned UAV Object Detection
• Convolutional Character Networks
• RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving
• End-to-End Video Instance Segmentation with Transformers
• iShape: A First Step Towards Irregular Shape Instance Segmentation
• You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors
• Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions
• Turning old models fashion again: Recycling classical CNN networks using the Lattice Transformation
• Real-Time Seamless Single Shot 6D Object Pose Prediction
• Opening up Open-World Tracking
• Translate-to-Recognize Networks for RGB-D Scene Recognition
• PointINS: Point-based Instance Segmentation
• 3D Object Detection on Point Clouds using Local Ground-aware and Adaptive Representation of scenes' surface
• AI-driven visual monitoring of industrial assembly tasks
• Image Captioning Based on a Hierarchical Attention Mechanism and Policy Gradient Optimization
• RetinaFace: Single-stage Dense Face Localisation in the Wild
• SAFCAR: Structured Attention Fusion for Compositional Action Recognition
• Open-World Object Counting in Videos
• Vehicle Detection in Deep Learning
• Improving Visual Question Answering by Referring to Generated Paragraph Captions
• Towards Automatic Construction of Diverse, High-quality Image Dataset
• BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights
• Rethinking Pseudo-LiDAR Representation
• Learning to Navigate for Fine-grained Classification
• Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems
• GoG: Relation-aware Graph-over-Graph Network for Visual Dialog
• Malaria Detection and Classificaiton
• Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet
• Egocentric Human-Object Interaction Detection: A New Benchmark and Method
• YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework
• Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning
• Hallucination Improves Few-Shot Object Detection
• Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)

Related

• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
• Fast R-CNN
• Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection
• R-FCN: Object Detection via Region-based Fully Convolutional Networks
• R-CNN minus R