UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer

Benchmark Model Rank Results
visual-place-recognition-on-sf-xl-test-v1UniPR-3D* (MegaLoc training setting, single frame)#1Recall@1: 96.3Recall@10: 98.5
visual-place-recognition-on-sf-xl-test-v2UniPR-3D* (MegaLoc training setting, single frame)#1Recall@1: 95.9Recall@10: 99.3
visual-place-recognition-on-sf-xl-nightUniPR-3D* (MegaLoc training setting, single frame)#3Recall@1: 0.548Recall@10: 0.745
visual-place-recognition-on-sf-xl-occlusionUniPR-3D* (MegaLoc training setting, single frame)#4Recall@1: 0.539Recall@10: 0.774
visual-place-recognition-on-spedUniPR-3D* (MegaLoc training setting, single frame)#4Recall@1: 92.8Recall@10: 97.9
visual-place-recognition-on-spedUniPR-3D (GSV-Cities single-frame release)#18Recall@5: 94.5
visual-place-recognition-on-nordland-2760-queriesUniPR-3D* (MegaLoc training setting, single frame)#6Recall@1: 78.9Recall@10: 92.4
visual-place-recognition-on-nordland-2760-queriesUniPR-3D (GSV-Cities single-frame release)#14Recall@5: 87.3
visual-place-recognition-on-pittsburgh-250k-testUniPR-3D* (MegaLoc training setting, single frame)#6Recall@1: 96.6Recall@10: 99.7
visual-place-recognition-on-pittsburgh-250k-testUniPR-3D (GSV-Cities single-frame release)#29Recall@5: 98.1
visual-place-recognition-on-tokyo247UniPR-3D* (MegaLoc training setting, single frame)#9Recall@1: 97.9
visual-place-recognition-on-mapillary-testUniPR-3D* (MegaLoc training setting, single frame)#12Recall@1: 75.9Recall@10: 91.8
visual-place-recognition-on-mapillary-testUniPR-3D (GSV-Cities single-frame release)#23Recall@5: 87.5
visual-place-recognition-on-mapillary-valUniPR-3D* (MegaLoc training setting, single frame)#12Recall@1: 93.2Recall@10: 97.9
visual-place-recognition-on-mapillary-valUniPR-3D (GSV-Cities single-frame release)#36Recall@5: 96