ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning

2024/01/12 by Sijun Dong, Libo Wang, Bo Du +1 · 25 citations
Earth and Planetary Sciences · Engineering · Environmental Science · #Coral and Marine Ecosystems Studies #Remote Sensing and Land Use #Remote-Sensing Image Classification

paper · doi:10.1016/j.isprsjprs.2024.01.004

openalex publication_date 2024/01/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31

Citations

• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
• Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set
• ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
• VisualBERT: A Simple and Performant Baseline for Vision and Language
• Deep Learning for Generic Object Detection: A Survey
• A Simple Framework for Contrastive Learning of Visual Representations
• A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
• Momentum Contrast for Unsupervised Visual Representation Learning
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Learning Transferable Visual Models From Natural Language Supervision
• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
• Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

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• SOMA: Feature Gradient Enhanced Affine-Flow Matching for SAR-Optical Registration
• UniChange: Unifying Change Detection with Multimodal Large Language Model
• Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges
• FUSAR-KLIP: Towards Multimodal Foundation Models for Remote Sensing
• LG-CD: Enhancing Language-Guided Change Detection through SAM2 Adaptation
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• PeftCD: Leveraging Vision Foundation Models with Parameter-Efficient Fine-Tuning for Remote Sensing Change Detection
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• ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario Simulation
• MGCR-Net:Multimodal Graph-Conditioned Vision-Language Reconstruction Network for Remote Sensing Change Detection
• SAR-TEXT: A Large-Scale SAR Image-Text Dataset Built with SAR-Narrator and A Progressive Learning Strategy for Downstream Tasks
• RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding
• MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing
• Flow-CDNet: A Novel Network for Detecting Both Slow and Fast Changes in Bitemporal Images
• CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation
• Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives
• Semantic Change Detection of Roads and Bridges: A Fine-grained Dataset and Multimodal Frequency-driven Detector
• Aerial Path Online Planning for Urban Scene Updation
• FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing
• Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation
• SAM-Based Building Change Detection with Distribution-Aware Fourier Adaptation and Edge-Constrained Warping
• SCD4VPR: Multi-modal Scene Change Detection for Long-term Visual Place Recognition Database Update