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Models/CBN+BoT*

CBN+BoT*

Reported on 7 benchmarks across 1 task · 1 paper · 1 SOTA

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

Computer Vision7 results

  • Person Re-IdentificationonDukeMTMC-reID
    Rank-10· 2020-01-23
    95.2
    best: 97.9 (CTL Model (ResNet50, 256x128))
    SOTA
    Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch NormalizationarXiv:2001.08680
  • Person Re-IdentificationonMarket-1501
    Rank-1· 2020-01-23
    94.3
    best: 98 (st-ReID(RE, RK))
    Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch NormalizationarXiv:2001.08680
  • Person Re-IdentificationonMarket-1501
    Rank-5· 2020-01-23
    97.9
    best: 98.9 (st-ReID(RE, RK))
    Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch NormalizationarXiv:2001.08680
  • Person Re-IdentificationonMarket-1501
    mAP· 2020-01-23
    83.6
    best: 96.21 (Unsupervised Pre-training (ResNet101+RK))
    Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch NormalizationarXiv:2001.08680
  • Person Re-IdentificationonDukeMTMC-reID
    Rank-1· 2020-01-23
    84.8
    best: 95.6 (CTL Model (ResNet50, 256x128))
    Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch NormalizationarXiv:2001.08680
  • Person Re-IdentificationonDukeMTMC-reID
    Rank-5· 2020-01-23
    92.5
    best: 96.5 (Viewpoint-Aware Loss(RK))
    Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch NormalizationarXiv:2001.08680
  • Person Re-IdentificationonDukeMTMC-reID
    mAP· 2020-01-23
    70.1
    best: 97.1 (DenseIL)
    Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch NormalizationarXiv:2001.08680