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Models/SimpleTrack

SimpleTrack

Reported on 18 benchmarks across 3 tasks · 2 papers

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

Computer Vision18 results

  • Multi-Object TrackingonMOT20
    HOTA· uses extra data· 2022-03-08
    57.6
    best: 66.4 (BoostTrack++)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Multi-Object TrackingonMOT20
    IDF1· uses extra data· 2022-03-08
    70.2
    best: 82 (BoostTrack++)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Multi-Object TrackingonMOT20
    MOTA· uses extra data· 2022-03-08
    72.6
    best: 78.2 (SMILEtrack)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Multi-Object TrackingonMOT17
    HOTA· 2022-03-08
    61.6
    best: 67.1 (TrackTrack)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Multi-Object TrackingonMOT17
    IDF1· 2022-03-08
    76.3
    best: 83.1 (TrackTrack)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Multi-Object TrackingonMOT17
    MOTA· 2022-03-08
    75.3
    best: 81.8 (TrackTrack)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2· 2022-03-08
    0.6018
    best: 0.7466 (RobMOT)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Object TrackingonMOT20
    HOTA· uses extra data· 2022-03-08
    57.6
    best: 66.4 (BoostTrack++)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Object TrackingonMOT20
    IDF1· uses extra data· 2022-03-08
    70.2
    best: 82 (BoostTrack++)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Object TrackingonMOT20
    MOTA· uses extra data· 2022-03-08
    72.6
    best: 78.2 (SMILEtrack)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Object TrackingonMOT17
    HOTA· 2022-03-08
    61.6
    best: 67.1 (TrackTrack)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Object TrackingonMOT17
    IDF1· 2022-03-08
    76.3
    best: 83.1 (TrackTrack)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Object TrackingonMOT17
    MOTA· 2022-03-08
    75.3
    best: 81.8 (TrackTrack)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2· 2022-03-08
    0.6018
    best: 0.7466 (RobMOT)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • 3D Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2· 2022-03-08
    0.6018
    best: 0.7466 (RobMOT)
    SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingarXiv:2203.03985
  • Multi-Object TrackingonnuScenes
    AMOTA· 2021-11-18
    0.67
    best: 0.763 (MCTrack)
    SimpleTrack: Understanding and Rethinking 3D Multi-object TrackingarXiv:2111.09621
  • Object TrackingonnuScenes
    AMOTA· 2021-11-18
    0.67
    best: 0.763 (MCTrack)
    SimpleTrack: Understanding and Rethinking 3D Multi-object TrackingarXiv:2111.09621
  • 3D Multi-Object TrackingonnuScenes
    AMOTA· 2021-11-18
    0.67
    best: 0.763 (MCTrack)
    SimpleTrack: Understanding and Rethinking 3D Multi-object TrackingarXiv:2111.09621