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Models/CorrFlow

CorrFlow

Reported on 15 benchmarks across 3 tasks · 1 paper

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

Computer Vision15 results

  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· 2019-05-02
    52.2
    best: 93.4 (Cutie+ (base))
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • VideoonDAVIS 2017 (val)
    F-measure (Recall)· 2019-05-02
    56
    best: 94.6 (STCN)
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • VideoonDAVIS 2017 (val)
    J&F· 2019-05-02
    50.3
    best: 90.7 (SAM2)
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· 2019-05-02
    48.4
    best: 87.5 (Cutie+ (base))
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • VideoonDAVIS 2017 (val)
    Jaccard (Recall)· 2019-05-02
    53.2
    best: 91.4 (ISVOS (MS))
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2019-05-02
    52.2
    best: 93.4 (Cutie+ (base))
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2019-05-02
    56
    best: 94.6 (STCN)
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2019-05-02
    50.3
    best: 90.7 (SAM2)
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2019-05-02
    48.4
    best: 87.5 (Cutie+ (base))
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2019-05-02
    53.2
    best: 91.4 (ISVOS (MS))
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2019-05-02
    52.2
    best: 93.4 (Cutie+ (base))
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2019-05-02
    56
    best: 94.6 (STCN)
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2019-05-02
    50.3
    best: 90.7 (SAM2)
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2019-05-02
    48.4
    best: 87.5 (Cutie+ (base))
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2019-05-02
    53.2
    best: 91.4 (ISVOS (MS))
    Self-supervised Learning for Video Correspondence FlowarXiv:1905.00875