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Models/CV-Cities

CV-Cities

Reported on 24 benchmarks across 4 tasks · 1 paper · 20 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision24 results

Object Localizationoncvusa
Recall@1· 2024-11-19
99.19
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object Localizationoncvusa
Recall@10· 2024-11-19
99.85
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object Localizationoncvusa
Recall@5· 2024-11-19
99.8
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object Localizationoncvusa
Recall@top1%· 2024-11-19
99.92
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object Localizationoncvact
Recall@1· 2024-11-19
92.59
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object Localizationoncvact
Recall@10· 2024-11-19
97.82
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object Localizationoncvact
Recall@5· 2024-11-19
97.16
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object LocalizationonVIGOR Cross Area
Hit Rate· 2024-11-19
75.97
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object LocalizationonVIGOR Cross Area
Recall@1· 2024-11-19
64.61
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object LocalizationonVIGOR Cross Area
Recall@1%· 2024-11-19
98.63
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object LocalizationonVIGOR Cross Area
Recall@10· 2024-11-19
91.2
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object LocalizationonVIGOR Cross Area
Recall@5· 2024-11-19
87.48
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object LocalizationonVIGOR Same Area
Hit Rate· 2024-11-19
90.76
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object LocalizationonVIGOR Same Area
Recall@1· 2024-11-19
78.27
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object LocalizationonVIGOR Same Area
Recall@10· 2024-11-19
97.52
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object LocalizationonVIGOR Same Area
Recall@5· 2024-11-19
96.1
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Image RetrievalonUniversity-1652
Recall@1· 2024-11-19
97.43
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Visual Place RecognitiononCV-Cities
Recall@1· 2024-11-19
82.91
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Visual Place RecognitiononCV-Cities
Recall@5· 2024-11-19
90.14
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Content-Based Image RetrievalonUniversity-1652
Recall@1· 2024-11-19
97.43
SOTA
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object Localizationoncvact
Recall@1 (%)· 2024-11-19
98.72
best: 98.77 (Sample4Geo)
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Object LocalizationonVIGOR Same Area
Recall@1%· 2024-11-19
99.67
best: 99.68 (SAIG-D)
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Image RetrievalonUniversity-1652
AP· 2024-11-19
95.01
best: 96.88 (Orientation-Guided Sample4Geo)
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431
Content-Based Image RetrievalonUniversity-1652
AP· 2024-11-19
95.01
best: 96.88 (Orientation-Guided Sample4Geo)
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities arXiv:2411.12431