Marcos, Diego
- Coarse-to-Fine Concept Bottleneck Models
2023/10/03 by Konstantinos P. Panousis, Dino Ienco, Panousis, Konstantinos P. +3 · 6 citations
Computer Science · #Machine Learning and Data Classification #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
- Learning deep structured active contours end-to-end
2018/03/16 by Marcos, Diego, Tuia, Devis, Kellenberger, Benjamin +4 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- PDiscoNet: Semantically consistent part discovery for fine-grained recognition
2023/09/06 by Robert van der Klis, van der Klis, Robert, Stephan Alaniz +11 · 3 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Sparse Linear Concept Discovery Models
2023/08/21 by Konstantinos P. Panousis, Dino Ienco, Panousis, Konstantinos P. +3 · 3 citations
Computer Science · #Data Stream Mining Techniques #Recommender Systems and Techniques #Machine Learning and Data Classification
- Fully automatic extraction of morphological traits from the Web: utopia or reality?
2024/09/23 by Marcos, Diego, van de Vlasakker, Robert, Athanasiadis, Ioannis N. +7 · 5 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers
2024/07/05 by Aniraj, Ananthu, Dantas, Cassio F., Ienco, Dino +1 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
2019/09/18 by Marcos, Diego, Lobry, Sylvain, Tuia, Devis · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- The GeoLifeCLEF 2023 Dataset to evaluate plant species distribution models at high spatial resolution across Europe
2023/08/07 by Christophe Botella, Botella, Christophe, Benjamin Deneu +15 · 3 citations
Biochemistry, Genetics and Molecular Biology · Environmental Science · #Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Plant Pathogens and Fungal Diseases #Populations and Evolution (q-bio.PE) #Remote Sensing in Agriculture #Species Distribution and Climate Change
- Masking Strategies for Background Bias Removal in Computer Vision Models
2023/08/23 by Aniraj, Ananthu, Dantas, Cassio F., Ienco, Dino +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
2025/04/28 by Valérie Zermatten, Javiera Castillo-Navarro, Zermatten, Valerie +7 · 2 citations
Computer Science · Environmental Science · Social Sciences · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Geographic Information Systems Studies #Multimodal Machine Learning Applications #Species Distribution and Climate Change
- SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting
2024/12/11 by Pallavi Jain, Dino Ienco, Jain, Pallavi +7 · 2 citations
Computer Science · Engineering · Environmental Science · #Advanced Computational Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Remote Sensing and LiDAR Applications #Satellite Image Processing and Photogrammetry
- GeoPlant: Spatial Plant Species Prediction Dataset
2024/08/25 by Lukáš Picek, Christophe Botella, Picek, Lukas +17 · 2 citations
Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Species Distribution and Climate Change