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An agent can perform city-scale 3D object grounding by actively exploring a multi-view environment, bypassing the need for precomputed proposals and achieving state-of-the-art results.
GeoLens outperforms traditional single-tool approaches by effectively integrating multiple visual reasoning tools, achieving superior accuracy and efficiency in complex remote sensing tasks.
T-STAR reveals that over 1.1 million instance masks and 3.8 million spatio-temporal triplets can significantly improve the understanding of dynamic geospatial scenes in satellite video.