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Models/CMDy

CMDy

Reported on 32 benchmarks across 2 tasks

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

Computer Vision32 results

  • Instance SegmentationonA2D Sentences
    AP
    0.333
    best: 0.585 (SgMg (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    IoU mean
    0.531
    best: 0.725 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    IoU overall
    0.623
    best: 0.807 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.5
    0.607
    best: 0.851 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.6
    0.525
    best: 0.827 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.7
    0.405
    best: 0.767 (SgMg (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.8
    0.235
    best: 0.617 (SgMg (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.9
    0.045
    best: 0.259 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    AP
    0.301
    best: 0.45 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    IoU mean
    0.576
    best: 0.725 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    IoU overall
    0.554
    best: 0.737 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.5
    0.742
    best: 0.972 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.6
    0.587
    best: 0.917 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.7
    0.316
    best: 0.714 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.8
    0.047
    best: 0.225 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.9
    0
    best: 0.4 (HINet)
  • Referring Expression SegmentationonA2D Sentences
    AP
    0.333
    best: 0.585 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    IoU mean
    0.531
    best: 0.725 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    IoU overall
    0.623
    best: 0.807 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.5
    0.607
    best: 0.851 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.6
    0.525
    best: 0.827 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.7
    0.405
    best: 0.767 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.8
    0.235
    best: 0.617 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.9
    0.045
    best: 0.259 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    AP
    0.301
    best: 0.45 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    IoU mean
    0.576
    best: 0.725 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    IoU overall
    0.554
    best: 0.737 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.5
    0.742
    best: 0.972 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.6
    0.587
    best: 0.917 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.7
    0.316
    best: 0.714 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.8
    0.047
    best: 0.225 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.9
    0
    best: 0.4 (HINet)