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Models/MPNTrack

MPNTrack

Reported on 16 benchmarks across 2 tasks

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

Computer Vision16 results

  • Multi-Object TrackingonMOT20
    IDF1
    59.1
    best: 82 (BoostTrack++)
  • Multi-Object TrackingonMOT20
    MOTA
    57.6
    best: 78.2 (SMILEtrack)
  • Multi-Object TrackingonMOT17
    IDF1
    61.7
    best: 83.1 (TrackTrack)
  • Multi-Object TrackingonMOT17
    MOTA
    58.8
    best: 81.8 (TrackTrack)
  • Multi-Object TrackingonMOT16
    IDF1
    61.7
    best: 76.8 (STGT)
  • Multi-Object TrackingonMOT16
    MOTA
    58.6
    best: 77.7 (PPTracking)
  • Multi-Object Trackingon2D MOT 2015
    IDF1
    58.6
    best: 60 (Lif_T)
  • Multi-Object Trackingon2D MOT 2015
    MOTA
    51.5
    best: 60.7 (GSDT)
  • Object TrackingonMOT20
    IDF1
    59.1
    best: 82 (BoostTrack++)
  • Object TrackingonMOT20
    MOTA
    57.6
    best: 78.2 (SMILEtrack)
  • Object TrackingonMOT17
    IDF1
    61.7
    best: 83.1 (TrackTrack)
  • Object TrackingonMOT17
    MOTA
    58.8
    best: 81.8 (TrackTrack)
  • Object TrackingonMOT16
    IDF1
    61.7
    best: 76.8 (STGT)
  • Object TrackingonMOT16
    MOTA
    58.6
    best: 77.7 (PPTracking)
  • Object Trackingon2D MOT 2015
    IDF1
    58.6
    best: 60 (Lif_T)
  • Object Trackingon2D MOT 2015
    MOTA
    51.5
    best: 60.7 (GSDT)