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Models/SFL

SFL

Reported on 21 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 Vision21 results

  • VideoonDAVIS 2016
    F-measure (Decay)· 2017-09-20
    10.4
    best: 27.2 (OFL)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • VideoonDAVIS 2016
    F-measure (Mean)· 2017-09-20
    76
    best: 94.7 (SwinB-DeAOT-L)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • VideoonDAVIS 2016
    F-measure (Recall)· 2017-09-20
    85.5
    best: 97.1 (STCN)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • VideoonDAVIS 2016
    J&F· 2017-09-20
    76.05
    best: 93.4 (ISVOS (BL30K, MS))
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • VideoonDAVIS 2016
    Jaccard (Decay)· 2017-09-20
    12.1
    best: 28.9 (BVS)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • VideoonDAVIS 2016
    Jaccard (Mean)· 2017-09-20
    76.1
    best: 92.5 (ISVOS (BL30K, MS))
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • VideoonDAVIS 2016
    Jaccard (Recall)· 2017-09-20
    90.6
    best: 98.1 (STCN)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Video Object SegmentationonDAVIS 2016
    F-measure (Decay)· 2017-09-20
    10.4
    best: 27.2 (OFL)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2017-09-20
    76
    best: 94.7 (SwinB-DeAOT-L)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Video Object SegmentationonDAVIS 2016
    F-measure (Recall)· 2017-09-20
    85.5
    best: 97.1 (STCN)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Video Object SegmentationonDAVIS 2016
    J&F· 2017-09-20
    76.05
    best: 93.4 (ISVOS (BL30K, MS))
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· 2017-09-20
    12.1
    best: 28.9 (BVS)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2017-09-20
    76.1
    best: 92.5 (ISVOS (BL30K, MS))
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)· 2017-09-20
    90.6
    best: 98.1 (STCN)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Decay)· 2017-09-20
    10.4
    best: 27.2 (OFL)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2017-09-20
    76
    best: 94.7 (SwinB-DeAOT-L)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Recall)· 2017-09-20
    85.5
    best: 97.1 (STCN)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    J&F· 2017-09-20
    76.05
    best: 93.4 (ISVOS (BL30K, MS))
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· 2017-09-20
    12.1
    best: 28.9 (BVS)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2017-09-20
    76.1
    best: 92.5 (ISVOS (BL30K, MS))
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)· 2017-09-20
    90.6
    best: 98.1 (STCN)
    SegFlow: Joint Learning for Video Object Segmentation and Optical FlowarXiv:1709.06750