AI RESEARCH
CIPER: A Unified Framework for Cross-view Image-retrieval and Pose-estimation
arXiv CS.CV
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ArXi:2606.05011v1 Announce Type: new Cross-view geo-localization estimates the geographic location of a ground image by matching it against an aerial image database. Existing methods tackle this through either large-scale retrieval or precise pose estimation, but not both: retrieval-based methods enable wide-area search at the cost of localization accuracy, while pose estimation methods achieve high precision within only a narrow search space. Naively cascading these pipelines