A DINOv2-based framework with feature mixing and hard negative sampling achieves state-of-the-art cross-view geo-localization, supported by a new global dataset, CV-Cities.
A Survey of the Research Progress in Image Geo- localization,
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CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
A DINOv2-based framework with feature mixing and hard negative sampling achieves state-of-the-art cross-view geo-localization, supported by a new global dataset, CV-Cities.