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Models/AdapTrack

AdapTrack

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
    AssA· uses extra data
    67.8
    best: 68.6 (BoostTrack+)
  • Multi-Object TrackingonMOT20
    HOTA· uses extra data
    65
    best: 66.4 (BoostTrack++)
  • Multi-Object TrackingonMOT20
    IDF1· uses extra data
    80.7
    best: 82 (BoostTrack++)
  • Multi-Object TrackingonMOT20
    MOTA· uses extra data
    75
    best: 78.2 (SMILEtrack)
  • Multi-Object TrackingonMOT17
    AssA· uses extra data
    66.9
    best: 68.2 (TrackTrack)
  • Multi-Object TrackingonMOT17
    HOTA· uses extra data
    65.7
    best: 67.1 (TrackTrack)
  • Multi-Object TrackingonMOT17
    IDF1· uses extra data
    82.3
    best: 83.1 (TrackTrack)
  • Multi-Object TrackingonMOT17
    MOTA· uses extra data
    79.9
    best: 81.8 (TrackTrack)
  • Object TrackingonMOT20
    AssA· uses extra data
    67.8
    best: 68.6 (BoostTrack+)
  • Object TrackingonMOT20
    HOTA· uses extra data
    65
    best: 66.4 (BoostTrack++)
  • Object TrackingonMOT20
    IDF1· uses extra data
    80.7
    best: 82 (BoostTrack++)
  • Object TrackingonMOT20
    MOTA· uses extra data
    75
    best: 78.2 (SMILEtrack)
  • Object TrackingonMOT17
    AssA· uses extra data
    66.9
    best: 68.2 (TrackTrack)
  • Object TrackingonMOT17
    HOTA· uses extra data
    65.7
    best: 67.1 (TrackTrack)
  • Object TrackingonMOT17
    IDF1· uses extra data
    82.3
    best: 83.1 (TrackTrack)
  • Object TrackingonMOT17
    MOTA· uses extra data
    79.9
    best: 81.8 (TrackTrack)