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Models/Lucid

Lucid

Reported on 42 benchmarks across 3 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 Vision42 results

  • VideoonDAVIS 2016
    F-measure (Mean)· 2017-03-28
    82
    best: 94.7 (SwinB-DeAOT-L)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2016
    J&F· 2017-03-28
    82.95
    best: 93.4 (ISVOS (BL30K, MS))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2016
    Jaccard (Mean)· 2017-03-28
    83.9
    best: 92.5 (ISVOS (BL30K, MS))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2016
    Jaccard (Recall)· 2017-03-28
    95
    best: 98.1 (STCN)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2017-03-28
    69.9
    best: 91.4 (Cutie+ (base, MEGA))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2017-03-28
    80.1
    best: 89.7 (STCN)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2017 (test-dev)
    J&F· 2017-03-28
    66.6
    best: 88.1 (Cutie+ (base, MEGA))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2017-03-28
    19.5
    best: 35.7 (RVOS)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2017-03-28
    63.4
    best: 84.7 (Cutie+ (base, MEGA))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2017-03-28
    74
    best: 85.5 (STCN)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2017-03-28
    82
    best: 94.7 (SwinB-DeAOT-L)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2016
    J&F· 2017-03-28
    82.95
    best: 93.4 (ISVOS (BL30K, MS))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2017-03-28
    83.9
    best: 92.5 (ISVOS (BL30K, MS))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)· 2017-03-28
    95
    best: 98.1 (STCN)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2017-03-28
    69.9
    best: 91.4 (Cutie+ (base, MEGA))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2017-03-28
    80.1
    best: 89.7 (STCN)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2017-03-28
    66.6
    best: 88.1 (Cutie+ (base, MEGA))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2017-03-28
    19.5
    best: 35.7 (RVOS)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2017-03-28
    63.4
    best: 84.7 (Cutie+ (base, MEGA))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2017-03-28
    74
    best: 85.5 (STCN)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2017-03-28
    82
    best: 94.7 (SwinB-DeAOT-L)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    J&F· 2017-03-28
    82.95
    best: 93.4 (ISVOS (BL30K, MS))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2017-03-28
    83.9
    best: 92.5 (ISVOS (BL30K, MS))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)· 2017-03-28
    95
    best: 98.1 (STCN)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2017-03-28
    69.9
    best: 91.4 (Cutie+ (base, MEGA))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2017-03-28
    80.1
    best: 89.7 (STCN)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2017-03-28
    66.6
    best: 88.1 (Cutie+ (base, MEGA))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2017-03-28
    19.5
    best: 35.7 (RVOS)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2017-03-28
    63.4
    best: 84.7 (Cutie+ (base, MEGA))
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2017-03-28
    74
    best: 85.5 (STCN)
    SOTA
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2016
    F-measure (Decay)· 2017-03-28
    9.7
    best: 27.2 (OFL)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2016
    F-measure (Recall)· 2017-03-28
    88.1
    best: 97.1 (STCN)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2016
    Jaccard (Decay)· 2017-03-28
    9.1
    best: 28.9 (BVS)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2017-03-28
    19.5
    best: 37.2 (RGMP)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2016
    F-measure (Decay)· 2017-03-28
    9.7
    best: 27.2 (OFL)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2016
    F-measure (Recall)· 2017-03-28
    88.1
    best: 97.1 (STCN)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· 2017-03-28
    9.1
    best: 28.9 (BVS)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2017-03-28
    19.5
    best: 37.2 (RGMP)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Decay)· 2017-03-28
    9.7
    best: 27.2 (OFL)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Recall)· 2017-03-28
    88.1
    best: 97.1 (STCN)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· 2017-03-28
    9.1
    best: 28.9 (BVS)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2017-03-28
    19.5
    best: 37.2 (RGMP)
    Lucid Data Dreaming for Video Object SegmentationarXiv:1703.09554