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Models/PPLR

PPLR

Reported on 8 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 Vision8 results

  • Person Re-IdentificationonMarket-1501
    Rank-10· 2022-03-28
    98.6
    best: 98.7 (TMGF)
    SOTA
    Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationarXiv:2203.14675
  • Person Re-IdentificationonMSMT17
    Rank-1· 2022-03-28
    73.3
    best: 91.7 (SOLIDER (with re-ranking))
    Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationarXiv:2203.14675
  • Person Re-IdentificationonMSMT17
    Rank-10· 2022-03-28
    86.5
    best: 96 (PCL-CLIP (L_pcl+L_id))
    Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationarXiv:2203.14675
  • Person Re-IdentificationonMSMT17
    Rank-5· 2022-03-28
    83.5
    best: 94.7 (PCL-CLIP (L_pcl+L_id))
    Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationarXiv:2203.14675
  • Person Re-IdentificationonMSMT17
    mAP· 2022-03-28
    42.2
    best: 86.7 (CLIP-ReID (with re-ranking))
    Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationarXiv:2203.14675
  • Person Re-IdentificationonMarket-1501
    MAP· 2022-03-28
    84.4
    best: 89.6 (TransReID-SSL (ViTi-S))
    Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationarXiv:2203.14675
  • Person Re-IdentificationonMarket-1501
    Rank-1· 2022-03-28
    94.3
    best: 98 (st-ReID(RE, RK))
    Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationarXiv:2203.14675
  • Person Re-IdentificationonMarket-1501
    Rank-5· 2022-03-28
    97.8
    best: 98.9 (st-ReID(RE, RK))
    Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationarXiv:2203.14675