paper-with-me

Image-Based Localization 벤치마크

Image-Based Localization on VIGOR Same Area

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Recall@1

33.93 45.02 56.1 67.19 78.27 2019-12 2026-09 SAFA — 33.93 (2019-12-01) TransGeo — 61.48 (2022-03-31) SAIG-D — 65.23 (2023-02-03) Sample4Geo — 77.86 (2023-03-21) CV-Cities — 78.27 (2024-11-19) SAFA — 33.93 (2019-12-01) TransGeo — 61.48 (2022-03-31) SAIG-D — 65.23 (2023-02-03) Sample4Geo — 77.86 (2023-03-21) CV-Cities — 78.27 (2024-11-19)
RankModel Recall@1Recall@5Recall@10Recall@1%Hit Rate PaperCodeYear
1 CV-Cities 78.2796.1097.5299.6790.76 CV-Cities: Advancing Cross-View Geo-Localization in Global Cities gaoshuang98/cvcities 2024
2 Sample4Geo 77.8695.6697.2199.6189.82 Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation Skyy93/Sample4Geo 2023
3 SAIG-D 65.2388.08-99.6874.11 Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization yanghongji2007/saig 2023
4 TransGeo 61.4887.5491.8899.5673.09 TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization jeff-zilence/transgeo2022 2022
5 SAFA 33.9358.4268.1298.2436.87 Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization shiyujiao/SAFA 2019
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