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TopoGS: Topology-Aware Anchor Feature Aggregation for Large-Scale 3D Gaussian Splatting
Wei Zhang, Shiqiang Gong, Shengkai Yu +4
Octree-based 3D Gaussian Splatting organizes anchors into multi-level hierarchies for level-of-detail rendering, but features at different levels are typically optimized independen…
UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation
Yohann Perron, Guillaume Astruc, Nicolas Gonthier +2
Vision Transformers (ViT) dominate computer vision. However, their reliance on rigid patch projectors hinders transfer to Earth Observation (EO), where input modalities, scales, an…
The Global-Local loop: what is missing in bridging the gap between geospatial data from numerous communities?
Clément Mallet, Ana-Maria Raimond
We face a unprecedented amount of geospatial data, describing directly or indirectly the Earth Surface at multiple spatial, temporal, and semantic scales, and stemming from numerou…
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation
Yanis Benidir, Nicolas Gonthier, Clement Mallet
Bi-temporal change detection at scale based on Very High Resolution (VHR) images is crucial for Earth monitoring. This remains poorly addressed so far: methods either require large…
AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities
Guillaume Astruc, Nicolas Gonthier, Clement Mallet +1
Geospatial models must adapt to the diversity of Earth observation data in terms of resolutions, scales, and modalities. However, existing approaches expect fixed input configurati…
OmniSat: Self-Supervised Modality Fusion for Earth Observation
Guillaume Astruc, Nicolas Gonthier, Clement Mallet +1
The diversity and complementarity of sensors available for Earth Observations (EO) calls for developing bespoke self-supervised multimodal learning approaches. However, current mul…