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Models/STCN Tracker

STCN Tracker

Reported on 12 benchmarks across 2 tasks · 1 paper

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

Computer Vision12 results

  • VideoonBURST-val
    HOTA (all)· uses extra data· 2022-09-25
    5.5
    best: 61.2 (Cutie (base, MEGA, 600 pixels))
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118
  • VideoonBURST-val
    HOTA (com)· uses extra data· 2022-09-25
    17.5
    best: 48.7 (GLEE-Pro)
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118
  • VideoonBURST-val
    HOTA (unc)· uses extra data· 2022-09-25
    2.5
    best: 26.9 (GLEE-Pro)
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118
  • VideoonBURST-val
    mAP (all)· uses extra data· 2022-09-25
    0.9
    best: 19.2 (GLEE-Pro)
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118
  • VideoonBURST-val
    mAP (com)· uses extra data· 2022-09-25
    0.7
    best: 24.8 (GLEE-Pro)
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118
  • VideoonBURST-val
    mAP (unc)· uses extra data· 2022-09-25
    0.6
    best: 17.7 (GLEE-Pro)
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118
  • Video Object SegmentationonBURST-val
    HOTA (all)· uses extra data· 2022-09-25
    5.5
    best: 61.2 (Cutie (base, MEGA, 600 pixels))
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118
  • Video Object SegmentationonBURST-val
    HOTA (com)· uses extra data· 2022-09-25
    17.5
    best: 48.7 (GLEE-Pro)
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118
  • Video Object SegmentationonBURST-val
    HOTA (unc)· uses extra data· 2022-09-25
    2.5
    best: 26.9 (GLEE-Pro)
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118
  • Video Object SegmentationonBURST-val
    mAP (all)· uses extra data· 2022-09-25
    0.9
    best: 19.2 (GLEE-Pro)
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118
  • Video Object SegmentationonBURST-val
    mAP (com)· uses extra data· 2022-09-25
    0.7
    best: 24.8 (GLEE-Pro)
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118
  • Video Object SegmentationonBURST-val
    mAP (unc)· uses extra data· 2022-09-25
    0.6
    best: 17.7 (GLEE-Pro)
    BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoarXiv:2209.12118