GeoCrossBench: Cross-Band Generalization for Remote Sensing
cs.LG
Submitted: 2025-11-04
Updated: 2026-09-16
Comments: 23 pages, 4 figures. v3: LaTeX source cleanup only; manuscript unchanged
Code: https://github.com/YerevaNN/rs_foundation_models
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities
- TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
- Foundation Models for Generalist Geospatial Artificial Intelligence
- PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models
- DINOv2: Learning Robust Visual Features without Supervision
- DINOv3
- Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
- Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation
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