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Models/CosPlace

CosPlace

Reported on 26 benchmarks across 1 task · 1 paper · 15 SOTA

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

Computer Vision26 results

  • Visual Place RecognitiononNardo-Air R
    Recall@1· 2022-04-05
    91.55
    best: 94.37 (AnyLoc-VLAD-DINO)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononOxford RobotCar Dataset
    Recall@1· 2022-04-05
    91.1
    best: 98.95 (AnyLoc-VLAD-DINOv2)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononSF-XL test v1
    Recall@1· 2022-04-05
    64.7
    best: 95.5 (EffoVPR)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononSF-XL test v1
    Recall@10· 2022-04-05
    76.6
    best: 98.1 (EffoVPR)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononSF-XL test v1
    Recall@5· 2022-04-05
    73.3
    best: 90.3 (ProGEO)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononSt Lucia
    Recall@1· 2022-04-05
    99.59
    best: 100 (EffoVPR)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononSt Lucia
    Recall@5· 2022-04-05
    99.9
    best: 100 (EffoVPR)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononPittsburgh-250k-test
    Recall@1· uses extra data· 2022-04-05
    91.5
    best: 97 (FoL)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononPittsburgh-250k-test
    Recall@10· uses extra data· 2022-04-05
    97.9
    best: 99.5 (BoQ)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononPittsburgh-250k-test
    Recall@5· uses extra data· 2022-04-05
    96.9
    best: 99.5 (FoL)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononPittsburgh-30k-test
    Recall@1· 2022-04-05
    90.45
    best: 95.4 (Pair-VPR-p)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononSF-XL test v2
    Recall@1· 2022-04-05
    83.4
    best: 94.6 (QAA-DINOv2-B-8192)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononSF-XL test v2
    Recall@10· 2022-04-05
    94.1
    best: 97.8 (EffoVPR)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononSF-XL test v2
    Recall@5· 2022-04-05
    91.6
    best: 98.2 (EffoVPR)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononMSLS
    Recall@1· 2022-04-05
    79.6
    best: 84.9 (ProGEO)
    SOTA
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononMid-Atlantic Ridge
    Recall@1· 2022-04-05
    20.79
    best: 34.65 (AnyLoc-VLAD-DINOv2)
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononHawkins
    Recall@1· 2022-04-05
    31.36
    best: 65.25 (AnyLoc-VLAD-DINOv2)
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononLaurel Caverns
    Recall@1· 2022-04-05
    24.11
    best: 61.61 (AnyLoc-VLAD-DINOv2)
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononGardens Point
    Recall@1· 2022-04-05
    74
    best: 95.5 (AnyLoc-VLAD-DINOv2)
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononTokyo247
    Recall@1· 2022-04-05
    82.2
    best: 100 (Pair-VPR-p)
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononVP-Air
    Recall@1· 2022-04-05
    8.12
    best: 66.74 (AnyLoc-VLAD-DINOv2)
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononMapillary val
    Recall@10· 2022-04-05
    91.8
    best: 97.7 (Pair-VPR-p)
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononMapillary val
    Recall@5· 2022-04-05
    89.9
    best: 97.3 (Pair-VPR-p)
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place Recognitionon17 Places
    Recall@1· 2022-04-05
    61.08
    best: 95.3 (SegVLAD-FineT (M))
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononBaidu Mall
    Recall@1· 2022-04-05
    41.62
    best: 80.4 (SegVLAD-PreT (M))
    Rethinking Visual Geo-localization for Large-Scale ApplicationsarXiv:2204.02287
  • Visual Place RecognitiononNardo-Air
    Recall@1
    0
    best: 76.06 (AnyLoc-VLAD-DINOv2)