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Models/SOC (Video-Swin-B)

SOC (Video-Swin-B)

Reported on 32 benchmarks across 2 tasks · 1 paper · 30 SOTA

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· uses extra data· 2023-05-26
    0.573
    best: 0.585 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonA2D Sentences
    IoU mean· uses extra data· 2023-05-26
    0.725
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonA2D Sentences
    IoU overall· uses extra data· 2023-05-26
    0.807
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonA2D Sentences
    Precision@0.5· uses extra data· 2023-05-26
    0.851
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonA2D Sentences
    Precision@0.6· uses extra data· 2023-05-26
    0.827
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonA2D Sentences
    Precision@0.7· uses extra data· 2023-05-26
    0.765
    best: 0.767 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonA2D Sentences
    Precision@0.8· uses extra data· 2023-05-26
    0.607
    best: 0.617 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonA2D Sentences
    Precision@0.9· uses extra data· 2023-05-26
    0.252
    best: 0.259 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonJ-HMDB
    AP· uses extra data· 2023-05-26
    0.446
    best: 0.45 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonJ-HMDB
    IoU mean· uses extra data· 2023-05-26
    0.723
    best: 0.725 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonJ-HMDB
    IoU overall· uses extra data· 2023-05-26
    0.736
    best: 0.737 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonJ-HMDB
    Precision@0.5· uses extra data· 2023-05-26
    0.969
    best: 0.972 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonJ-HMDB
    Precision@0.6· uses extra data· 2023-05-26
    0.914
    best: 0.917 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonJ-HMDB
    Precision@0.7· uses extra data· 2023-05-26
    0.711
    best: 0.714 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonJ-HMDB
    Precision@0.8· uses extra data· 2023-05-26
    0.213
    best: 0.225 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonA2D Sentences
    AP· uses extra data· 2023-05-26
    0.573
    best: 0.585 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonA2D Sentences
    IoU mean· uses extra data· 2023-05-26
    0.725
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonA2D Sentences
    IoU overall· uses extra data· 2023-05-26
    0.807
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.5· uses extra data· 2023-05-26
    0.851
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.6· uses extra data· 2023-05-26
    0.827
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.7· uses extra data· 2023-05-26
    0.765
    best: 0.767 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.8· uses extra data· 2023-05-26
    0.607
    best: 0.617 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.9· uses extra data· 2023-05-26
    0.252
    best: 0.259 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonJ-HMDB
    AP· uses extra data· 2023-05-26
    0.446
    best: 0.45 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonJ-HMDB
    IoU mean· uses extra data· 2023-05-26
    0.723
    best: 0.725 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonJ-HMDB
    IoU overall· uses extra data· 2023-05-26
    0.736
    best: 0.737 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.5· uses extra data· 2023-05-26
    0.969
    best: 0.972 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.6· uses extra data· 2023-05-26
    0.914
    best: 0.917 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.7· uses extra data· 2023-05-26
    0.711
    best: 0.714 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.8· uses extra data· 2023-05-26
    0.213
    best: 0.225 (SgMg (Video-Swin-B))
    SOTA
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Instance SegmentationonJ-HMDB
    Precision@0.9· uses extra data· 2023-05-26
    0.001
    best: 0.4 (HINet)
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.9· uses extra data· 2023-05-26
    0.001
    best: 0.4 (HINet)
    SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationarXiv:2305.17011