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Models/ML

ML

Reported on 12 benchmarks across 2 tasks

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

Methodology6 results

  • Domain AdaptationonVeri-776 to VehicleID Large
    R-1
    36.5
    best: 48.62 (CORE-ReID V2)
  • Domain AdaptationonVeri-776 to VehicleID Large
    R-5
    54.1
    best: 68.3 (CORE-ReID V2)
  • Domain AdaptationonVeri-776 to VehicleID Large
    mAP
    45
    best: 57.99 (CORE-ReID V2)
  • Domain AdaptationonVeri-776 to VehicleID Medium
    R-1
    40.3
    best: 53.49 (CORE-ReID V2)
  • Domain AdaptationonVeri-776 to VehicleID Medium
    R-5
    57.7
    best: 74.36 (CORE-ReID V2)
  • Domain AdaptationonVeri-776 to VehicleID Medium
    mAP
    48.7
    best: 63.02 (CORE-ReID V2)

Other6 results

  • Unsupervised Domain AdaptationonVeri-776 to VehicleID Large
    R-1
    36.5
    best: 48.62 (CORE-ReID V2)
  • Unsupervised Domain AdaptationonVeri-776 to VehicleID Large
    R-5
    54.1
    best: 68.3 (CORE-ReID V2)
  • Unsupervised Domain AdaptationonVeri-776 to VehicleID Large
    mAP
    45
    best: 57.99 (CORE-ReID V2)
  • Unsupervised Domain AdaptationonVeri-776 to VehicleID Medium
    R-1
    40.3
    best: 53.49 (CORE-ReID V2)
  • Unsupervised Domain AdaptationonVeri-776 to VehicleID Medium
    R-5
    57.7
    best: 74.36 (CORE-ReID V2)
  • Unsupervised Domain AdaptationonVeri-776 to VehicleID Medium
    mAP
    48.7
    best: 63.02 (CORE-ReID V2)