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Models/RefVOS

RefVOS

Reported on 32 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Computer Vision42 results

  • Instance SegmentationonA2D Sentences
    IoU mean· 2020-10-01
    0.599
    best: 0.725 (SOC (Video-Swin-B))
    SOTA
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Instance SegmentationonA2D Sentences
    IoU overall· 2020-10-01
    0.599
    best: 0.807 (SOC (Video-Swin-B))
    SOTA
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Instance SegmentationonA2D Sentences
    Precision@0.9· 2020-10-01
    0.064
    best: 0.259 (SgMg (Video-Swin-B))
    SOTA
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Instance SegmentationonDAVIS 2017 (val)
    J&F 1st frame· 2020-10-01
    45.1
    best: 72.5 (UNINEXT-H)
    SOTA
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Instance SegmentationonDAVIS 2017 (val)
    J&F Full video· 2020-10-01
    45.1
    best: 59.4 (UniVS(Swin-L))
    SOTA
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Referring Expression SegmentationonA2D Sentences
    IoU mean· 2020-10-01
    0.599
    best: 0.725 (SOC (Video-Swin-B))
    SOTA
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Referring Expression SegmentationonA2D Sentences
    IoU overall· 2020-10-01
    0.599
    best: 0.807 (SOC (Video-Swin-B))
    SOTA
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.9· 2020-10-01
    0.064
    best: 0.259 (SgMg (Video-Swin-B))
    SOTA
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Referring Expression SegmentationonDAVIS 2017 (val)
    J&F 1st frame· 2020-10-01
    45.1
    best: 72.5 (UNINEXT-H)
    SOTA
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Referring Expression SegmentationonDAVIS 2017 (val)
    J&F Full video· 2020-10-01
    45.1
    best: 59.4 (UniVS(Swin-L))
    SOTA
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Instance SegmentationonA2D Sentences
    Precision@0.5· 2020-10-01
    0.495
    best: 0.851 (SOC (Video-Swin-B))
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Instance SegmentationonDAVIS 2017 (val)
    J&F 1st frame· 2020-10-01
    44.5
    best: 72.5 (UNINEXT-H)
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.5· 2020-10-01
    0.495
    best: 0.851 (SOC (Video-Swin-B))
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Referring Expression SegmentationonDAVIS 2017 (val)
    J&F 1st frame· 2020-10-01
    44.5
    best: 72.5 (UNINEXT-H)
    RefVOS: A Closer Look at Referring Expressions for Video Object SegmentationarXiv:2010.00263
  • Instance SegmentationonA2D Sentences
    IoU mean
    0.497
    best: 0.725 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    IoU overall
    0.672
    best: 0.807 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.5
    0.578
    best: 0.851 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.6
    0.534
    best: 0.827 (SOC (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.7
    0.456
    best: 0.767 (SgMg (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.8
    0.311
    best: 0.617 (SgMg (Video-Swin-B))
  • Instance SegmentationonA2D Sentences
    Precision@0.9
    0.093
    best: 0.259 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    IoU mean
    0.568
    best: 0.725 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    IoU overall
    0.606
    best: 0.737 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.5
    0.731
    best: 0.972 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.6
    0.62
    best: 0.917 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.7
    0.392
    best: 0.714 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.8
    0.088
    best: 0.225 (SgMg (Video-Swin-B))
  • Instance SegmentationonJ-HMDB
    Precision@0.9
    0
    best: 0.4 (HINet)
  • Referring Expression SegmentationonA2D Sentences
    IoU mean
    0.497
    best: 0.725 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    IoU overall
    0.672
    best: 0.807 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.5
    0.578
    best: 0.851 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.6
    0.534
    best: 0.827 (SOC (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.7
    0.456
    best: 0.767 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.8
    0.311
    best: 0.617 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonA2D Sentences
    Precision@0.9
    0.093
    best: 0.259 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    IoU mean
    0.568
    best: 0.725 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    IoU overall
    0.606
    best: 0.737 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.5
    0.731
    best: 0.972 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.6
    0.62
    best: 0.917 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.7
    0.392
    best: 0.714 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.8
    0.088
    best: 0.225 (SgMg (Video-Swin-B))
  • Referring Expression SegmentationonJ-HMDB
    Precision@0.9
    0
    best: 0.4 (HINet)