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Jilin University
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VLMs still struggle to understand our planet, as revealed by a new geospatial benchmark spanning diverse Earth observation tasks and multi-source sensing data.
Achieve state-of-the-art fine-grained vision-language alignment in remote sensing by unifying multi-granular semantic alignment and intra-modal consistency learning.