arXiv Computer Vision
GeoLink: A 3D-aware Framework to Improve Generalization for Cross-view Geo-localization
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Beyond 2D Matching: A Unified Single-Stage Framework for Geometry-Aware Cross-View Object Geo-Localization
arXiv:2606. 30576v1 Announce Type: cross Abstract: Cross-view object geo-localization (CVOGL) aims to locate a target object from a query view (e.
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Warp-free Cross-view Geo-localization via Feature-space Consensus Mining
Cross-view geo-localization is challenging due to drastic viewpoint changes and large appearance discrepancies between street-level and satellite imagery. Although existing methods often use geometric warping to expose co-visible cues, such transformations rely on restrictive spatial assumptions and inevitably introduce severe visual distortions under view-dependent visibility, yielding noisy supervision and fragile correspondences.
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GeoBridge++: Fact-Guided Geo-Semantic Bridging for Unified Cross-View Geo-Localization
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S$^3$Geo: Structure-Semantic Synergistic Learning for Cross-View Geo-Localization
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Pixel-wise Geo-registration of Drone and Satellite Images
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MVDG: Efficient Multi-view 3D Disambiguation on Unconstrained Real-World Images
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