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Multi-View Mixture-of-Experts with Vision-Language Reranking for Cross-View Object Geo-Localization
Cross-view object geo-localization (CVOGL) locates a target in satellite imagery using drone or street-view queries. Existing methods train separate detectors for each viewpoint, leading to parameter redundancy and impeding cross-view knowledge sharing. Moreover, top-ranked satellite candidates are
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