A training-only joint-view branch that mines semantic consensus between street and satellite images, distilled into single-view encoders, improves cross-view geo-localization retrieval without extra test-time cost.
In: Proceedings of the ACM International Con- ference on Multimedia, ACM MM (2011)
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Warp-free Cross-view Geo-localization via Feature-space Consensus Mining
A training-only joint-view branch that mines semantic consensus between street and satellite images, distilled into single-view encoders, improves cross-view geo-localization retrieval without extra test-time cost.