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Models/FAVOS

FAVOS

Reported on 63 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 Vision63 results

  • VideoonDAVIS 2017 (val)
    F-measure (Decay)· 2018-06-06
    18
    best: 85.3 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· 2018-06-06
    61.8
    best: 93.4 (Cutie+ (base))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (val)
    F-measure (Recall)· 2018-06-06
    72.3
    best: 94.6 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (val)
    J&F· 2018-06-06
    58.2
    best: 90.7 (SAM2)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (val)
    Jaccard (Decay)· 2018-06-06
    14.1
    best: 32.5 (MuG-W)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· 2018-06-06
    54.6
    best: 87.5 (Cutie+ (base))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (val)
    Jaccard (Recall)· 2018-06-06
    61.1
    best: 91.4 (ISVOS (MS))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2016
    F-measure (Decay)· 2018-06-06
    5.5
    best: 27.2 (OFL)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2016
    F-measure (Mean)· 2018-06-06
    79.5
    best: 94.7 (SwinB-DeAOT-L)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2016
    F-measure (Recall)· 2018-06-06
    89.4
    best: 97.1 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2016
    J&F· 2018-06-06
    80.95
    best: 93.4 (ISVOS (BL30K, MS))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2016
    Jaccard (Decay)· 2018-06-06
    4.5
    best: 28.9 (BVS)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2016
    Jaccard (Mean)· 2018-06-06
    82.4
    best: 92.5 (ISVOS (BL30K, MS))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2016
    Jaccard (Recall)· 2018-06-06
    96.5
    best: 98.1 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2018-06-06
    19.8
    best: 37.2 (RGMP)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2018-06-06
    44.2
    best: 91.4 (Cutie+ (base, MEGA))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2018-06-06
    51.1
    best: 89.7 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (test-dev)
    J&F· 2018-06-06
    43.6
    best: 88.1 (Cutie+ (base, MEGA))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2018-06-06
    18.1
    best: 35.7 (RVOS)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2018-06-06
    42.9
    best: 84.7 (Cutie+ (base, MEGA))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2018-06-06
    48.1
    best: 85.5 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Decay)· 2018-06-06
    18
    best: 85.3 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2018-06-06
    61.8
    best: 93.4 (Cutie+ (base))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2018-06-06
    72.3
    best: 94.6 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2018-06-06
    58.2
    best: 90.7 (SAM2)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Decay)· 2018-06-06
    14.1
    best: 32.5 (MuG-W)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2018-06-06
    54.6
    best: 87.5 (Cutie+ (base))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2018-06-06
    61.1
    best: 91.4 (ISVOS (MS))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2016
    F-measure (Decay)· 2018-06-06
    5.5
    best: 27.2 (OFL)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2018-06-06
    79.5
    best: 94.7 (SwinB-DeAOT-L)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2016
    F-measure (Recall)· 2018-06-06
    89.4
    best: 97.1 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2016
    J&F· 2018-06-06
    80.95
    best: 93.4 (ISVOS (BL30K, MS))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· 2018-06-06
    4.5
    best: 28.9 (BVS)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2018-06-06
    82.4
    best: 92.5 (ISVOS (BL30K, MS))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)· 2018-06-06
    96.5
    best: 98.1 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2018-06-06
    19.8
    best: 37.2 (RGMP)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2018-06-06
    44.2
    best: 91.4 (Cutie+ (base, MEGA))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2018-06-06
    51.1
    best: 89.7 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2018-06-06
    43.6
    best: 88.1 (Cutie+ (base, MEGA))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2018-06-06
    18.1
    best: 35.7 (RVOS)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2018-06-06
    42.9
    best: 84.7 (Cutie+ (base, MEGA))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2018-06-06
    48.1
    best: 85.5 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Decay)· 2018-06-06
    18
    best: 85.3 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2018-06-06
    61.8
    best: 93.4 (Cutie+ (base))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2018-06-06
    72.3
    best: 94.6 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2018-06-06
    58.2
    best: 90.7 (SAM2)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Decay)· 2018-06-06
    14.1
    best: 32.5 (MuG-W)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2018-06-06
    54.6
    best: 87.5 (Cutie+ (base))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2018-06-06
    61.1
    best: 91.4 (ISVOS (MS))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Decay)· 2018-06-06
    5.5
    best: 27.2 (OFL)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2018-06-06
    79.5
    best: 94.7 (SwinB-DeAOT-L)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Recall)· 2018-06-06
    89.4
    best: 97.1 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    J&F· 2018-06-06
    80.95
    best: 93.4 (ISVOS (BL30K, MS))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· 2018-06-06
    4.5
    best: 28.9 (BVS)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2018-06-06
    82.4
    best: 92.5 (ISVOS (BL30K, MS))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)· 2018-06-06
    96.5
    best: 98.1 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2018-06-06
    19.8
    best: 37.2 (RGMP)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2018-06-06
    44.2
    best: 91.4 (Cutie+ (base, MEGA))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2018-06-06
    51.1
    best: 89.7 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2018-06-06
    43.6
    best: 88.1 (Cutie+ (base, MEGA))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2018-06-06
    18.1
    best: 35.7 (RVOS)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2018-06-06
    42.9
    best: 84.7 (Cutie+ (base, MEGA))
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2018-06-06
    48.1
    best: 85.5 (STCN)
    Fast and Accurate Online Video Object Segmentation via Tracking PartsarXiv:1806.02323