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Models/QDtrack

QDtrack

Reported on 9 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Computer Vision9 results

  • VideoonBDD100K test
    mHOTA· 2022-10-12
    41.8
    best: 48.2 (SUSHI)
    SOTA
    QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingarXiv:2210.06984
  • Object TrackingonBDD100K test
    mHOTA· 2022-10-12
    41.8
    best: 48.2 (SUSHI)
    SOTA
    QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingarXiv:2210.06984
  • Multiple Object TrackingonBDD100K test
    mHOTA· 2022-10-12
    41.8
    best: 48.2 (SUSHI)
    SOTA
    QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingarXiv:2210.06984
  • VideoonBDD100K test
    mIDF1· 2022-10-12
    52.3
    best: 60 (SUSHI)
    QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingarXiv:2210.06984
  • VideoonBDD100K test
    mMOTA· 2022-10-12
    35.6
    best: 42.8 (ContrasTR)
    QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingarXiv:2210.06984
  • Object TrackingonBDD100K test
    mIDF1· 2022-10-12
    52.3
    best: 60 (SUSHI)
    QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingarXiv:2210.06984
  • Object TrackingonBDD100K test
    mMOTA· 2022-10-12
    35.6
    best: 42.8 (ContrasTR)
    QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingarXiv:2210.06984
  • Multiple Object TrackingonBDD100K test
    mIDF1· 2022-10-12
    52.3
    best: 60 (SUSHI)
    QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingarXiv:2210.06984
  • Multiple Object TrackingonBDD100K test
    mMOTA· 2022-10-12
    35.6
    best: 42.8 (ContrasTR)
    QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingarXiv:2210.06984