TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/NetVLAD

NetVLAD

Reported on 13 benchmarks across 1 task · 1 paper · 13 SOTA

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

Computer Vision13 results

  • Visual Place RecognitiononNardo-Air R
    Recall@1· 2015-11-23
    60.56
    best: 94.37 (AnyLoc-VLAD-DINO)
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place RecognitiononOxford RobotCar Dataset
    Recall@1· 2015-11-23
    52.88
    best: 98.95 (AnyLoc-VLAD-DINOv2)
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place RecognitiononNardo-Air
    Recall@1· 2015-11-23
    19.72
    best: 76.06 (AnyLoc-VLAD-DINOv2)
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place RecognitiononMid-Atlantic Ridge
    Recall@1· 2015-11-23
    25.74
    best: 34.65 (AnyLoc-VLAD-DINOv2)
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place RecognitiononSt Lucia
    Recall@1· 2015-11-23
    57.92
    best: 100 (EffoVPR)
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place RecognitiononHawkins
    Recall@1· 2015-11-23
    34.75
    best: 65.25 (AnyLoc-VLAD-DINOv2)
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place RecognitiononLaurel Caverns
    Recall@1· 2015-11-23
    39.29
    best: 61.61 (AnyLoc-VLAD-DINOv2)
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place RecognitiononBerlin Kudamm
    Recall@1· 2015-11-23
    38.21
    best: 61.07 (HEAPUtil)
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place RecognitiononGardens Point
    Recall@1· 2015-11-23
    58.5
    best: 95.5 (AnyLoc-VLAD-DINOv2)
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place RecognitiononPittsburgh-30k-test
    Recall@1· 2015-11-23
    86.08
    best: 95.4 (Pair-VPR-p)
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place RecognitiononVP-Air
    Recall@1· 2015-11-23
    6.39
    best: 66.74 (AnyLoc-VLAD-DINOv2)
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place Recognitionon17 Places
    Recall@1· 2015-11-23
    61.58
    best: 95.3 (SegVLAD-FineT (M))
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247
  • Visual Place RecognitiononBaidu Mall
    Recall@1· 2015-11-23
    53.1
    best: 80.4 (SegVLAD-PreT (M))
    SOTA
    NetVLAD: CNN architecture for weakly supervised place recognitionarXiv:1511.07247