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Models/PCB

PCB

Reported on 8 benchmarks across 1 task · 1 paper · 6 SOTA

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

Computer Vision8 results

  • Person Re-IdentificationonMarket-1501-C
    Rank-1· 2017-11-26
    34.93
    best: 53.19 (TransReID)
    SOTA
    Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)arXiv:1711.09349
  • Person Re-IdentificationonMarket-1501-C
    mAP· 2017-11-26
    12.72
    best: 27.38 (TransReID)
    SOTA
    Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)arXiv:1711.09349
  • Person Re-IdentificationonMarket-1501-C
    mINP· 2017-11-26
    0.41
    best: 1.98 (TransReID)
    SOTA
    Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)arXiv:1711.09349
  • Person Re-IdentificationonUAV-Human
    Rank-1· 2017-11-26
    62.19
    best: 65.81 (DG-Net)
    SOTA
    Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)arXiv:1711.09349
  • Person Re-IdentificationonUAV-Human
    Rank-5· 2017-11-26
    83.9
    best: 85.71 (DG-Net)
    SOTA
    Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)arXiv:1711.09349
  • Person Re-IdentificationonUAV-Human
    mAP· 2017-11-26
    61.05
    best: 63.41 (Tricks)
    SOTA
    Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)arXiv:1711.09349
  • Person Re-IdentificationonMarket-1501
    Rank-1· 2017-11-26
    92.3
    best: 98 (st-ReID(RE, RK))
    Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)arXiv:1711.09349
  • Person Re-IdentificationonMarket-1501
    mAP· 2017-11-26
    77.4
    best: 96.21 (Unsupervised Pre-training (ResNet101+RK))
    Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)arXiv:1711.09349