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Models/ACGA

ACGA

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
    0.274
    best: 0.585 (SgMg (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    IoU mean
    0.49
    best: 0.725 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    IoU overall
    0.601
    best: 0.807 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.5
    0.557
    best: 0.851 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.6
    0.459
    best: 0.827 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.7
    0.319
    best: 0.767 (SgMg (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.8
    0.16
    best: 0.617 (SgMg (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.9
    0.02
    best: 0.259 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    AP
    0.289
    best: 0.45 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    IoU mean
    0.584
    best: 0.725 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    IoU overall
    0.576
    best: 0.737 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.5
    0.756
    best: 0.972 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.6
    0.564
    best: 0.917 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.7
    0.287
    best: 0.714 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.8
    0.034
    best: 0.225 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.9
    0
    best: 0.4 (HINet)
  • Referring Expression SegmentationonA2D Sentences
    AP
    0.274
    best: 0.585 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    IoU mean
    0.49
    best: 0.725 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    IoU overall
    0.601
    best: 0.807 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.5
    0.557
    best: 0.851 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.6
    0.459
    best: 0.827 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.7
    0.319
    best: 0.767 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.8
    0.16
    best: 0.617 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.9
    0.02
    best: 0.259 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    AP
    0.289
    best: 0.45 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    IoU mean
    0.584
    best: 0.725 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    IoU overall
    0.576
    best: 0.737 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.5
    0.756
    best: 0.972 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.6
    0.564
    best: 0.917 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.7
    0.287
    best: 0.714 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.8
    0.034
    best: 0.225 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.9
    0
    best: 0.4 (HINet)