Strong generalist vision foundation models match or outperform electro-optical specific models in remote sensing retrieval with better cross-scene stability.
Exploring masked autoencoders for sensor- agnostic image retrieval in remote sensing.IEEE Transac- tions on Geoscience and Remote Sensing, 63:1–14, 2024
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Rethinking Electro-Optical Vision Foundation Models for Remote Sensing Retrieval: A Controlled Comparison with Generalist VFM
Strong generalist vision foundation models match or outperform electro-optical specific models in remote sensing retrieval with better cross-scene stability.