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Models/Gavriluyk el al. (Optical flow)

Gavriluyk el al. (Optical flow)

Reported on 16 benchmarks across 2 tasks · 1 paper · 16 SOTA

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

Computer Vision16 results

  • Instance SegmentationonA2D Sentences
    AP· 2018-03-20
    0.215
    best: 0.585 (SgMg (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Instance SegmentationonA2D Sentences
    IoU mean· 2018-03-20
    0.426
    best: 0.725 (SOC (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Instance SegmentationonA2D Sentences
    IoU overall· 2018-03-20
    0.551
    best: 0.807 (SOC (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Instance SegmentationonA2D Sentences
    Precision@0.5· 2018-03-20
    0.5
    best: 0.851 (SOC (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Instance SegmentationonA2D Sentences
    Precision@0.6· 2018-03-20
    0.376
    best: 0.827 (SOC (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Instance SegmentationonA2D Sentences
    Precision@0.7· 2018-03-20
    0.231
    best: 0.767 (SgMg (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Instance SegmentationonA2D Sentences
    Precision@0.8· 2018-03-20
    0.094
    best: 0.617 (SgMg (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Instance SegmentationonA2D Sentences
    Precision@0.9· 2018-03-20
    0.004
    best: 0.259 (SgMg (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Referring Expression SegmentationonA2D Sentences
    AP· 2018-03-20
    0.215
    best: 0.585 (SgMg (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Referring Expression SegmentationonA2D Sentences
    IoU mean· 2018-03-20
    0.426
    best: 0.725 (SOC (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Referring Expression SegmentationonA2D Sentences
    IoU overall· 2018-03-20
    0.551
    best: 0.807 (SOC (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.5· 2018-03-20
    0.5
    best: 0.851 (SOC (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.6· 2018-03-20
    0.376
    best: 0.827 (SOC (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.7· 2018-03-20
    0.231
    best: 0.767 (SgMg (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.8· 2018-03-20
    0.094
    best: 0.617 (SgMg (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.9· 2018-03-20
    0.004
    best: 0.259 (SgMg (Video-Swin-B))
    SOTA
    Actor and Action Video Segmentation from a SentencearXiv:1803.07485