1. Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels [Highlight]
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Paper : http://arxiv.org/abs/2403.02746
- Paper: CVPR 2024 Paper
- Video: https://www.youtube.com/watch?v=VPyomVPVqwU
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Paper : https://arxiv.org/abs/2311.15826
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Data: https://huggingface.co/datasets/MBZUAI/GeoChat_Instruct
5. SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
- Paper : https://arxiv.org/abs/2312.10115
- Paper : https://arxiv.org/abs/2401.10786
- Paper : https://arxiv.org/abs/2312.12470
- Code: https://github.com/Lsan2401/RMSIN
- Data: https://github.com/Lsan2401/RMSIN
- Paper : http://arxiv.org/abs/2403.06258
- Code: https://github.com/NUST-Machine-Intelligence-Laboratory/PKINet
10. Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model
15. Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision
- Paper : http://arxiv.org/abs/2304.09704
- Code: https://romainloiseau.fr/learnable-earth-parser/
- Data: https://romainloiseau.fr/learnable-earth-parser/
- Paper : http://arxiv.org/abs/2404.01260
- Code: https://github.com/boranhan/Geospatial_Foundation_Models
- Paper : https://arxiv.org/abs/2311.15826
- Code: https://github.com/mbzuai-oryx/geochat
- Data: https://huggingface.co/datasets/MBZUAI/GeoChat_Instruct
- Paper : CVPR 2024 Paper
- Code: https://github.com/UCSB-VRL/WildlifeMapper
- Paper: CVPR 2024 Paper
- Paper: CVPR 2024 Paper
- Code: https://github.com/HSG-AIML/GDA
- Paper: CVPR 2024 Paper
- Code: https://github.com/HSG-AIML/GDA
- Paper: CVPR 2024 Paper
- Code: https://github.com/DeminYu98/DiffCast
- Paper: CVPR 2024 Paper
1. Efficient Local Correlation Volume for Unsupervised Optical Flow Estimation on Small Moving Objects in Large Satellite Images
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
5. Let Me Show You How It's Done - Cross-modal Knowledge Distillation as Pretext Task for Semantic Segmentation
- Page : CVPR24 workshop Paper
6. Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs
- Page : CVPR24 workshop Paper
7. SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Page : CVPR24 workshop Paper
- Workshop: CVPR 2024 2nd Workshop on Scene Graphs and Graph Representation Learning
- Paper : http://arxiv.org/abs/2403.16051
- Code: https://github.com/htcr/sam_road
2. Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework
- Workshop: CVPR 2024 3rd Workshop on Learning with Limited Labelled Data for Image and Video Understanding
- Paper: http://arxiv.org/abs/2404.12721
- Code: https://github.com/LiZhuoHong/SegLand
- Page: https://cliffbb.github.io/OEM-Fewshot-Challenge/
3. Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation
- Workshop: CVPR 2024 3rd Workshop on Learning with Limited Labelled Data for Image and Video Understanding
- Paper : http://arxiv.org/abs/2404.05111
- Code: https://github.com/earth-insights/ClassTrans
- Page: https://cliffbb.github.io/OEM-Fewshot-Challenge/
- Workshop: CVPR 2024 3rd Workshop on Learning with Limited Labelled Data for Image and Video Understanding
- Paper : https://arxiv.org/abs/2404.10307
- Page : https://codalab.lisn.upsaclay.fr/competitions/17568