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Models/RGMP

RGMP

Reported on 63 benchmarks across 3 tasks

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)
    19.6
    best: 85.3 (STCN)
  • VideoonDAVIS 2017 (val)
    F-measure (Mean)
    68.6
    best: 93.4 (Cutie+ (base))
  • VideoonDAVIS 2017 (val)
    F-measure (Recall)
    77.7
    best: 94.6 (STCN)
  • VideoonDAVIS 2017 (val)
    J&F
    66.7
    best: 90.7 (SAM2)
  • VideoonDAVIS 2017 (val)
    Jaccard (Decay)
    18.9
    best: 32.5 (MuG-W)
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)
    64.8
    best: 87.5 (Cutie+ (base))
  • VideoonDAVIS 2017 (val)
    Jaccard (Recall)
    74.1
    best: 91.4 (ISVOS (MS))
  • VideoonDAVIS 2016
    F-measure (Decay)
    10.1
    best: 27.2 (OFL)
  • VideoonDAVIS 2016
    F-measure (Mean)
    82
    best: 94.7 (SwinB-DeAOT-L)
  • VideoonDAVIS 2016
    F-measure (Recall)
    90.8
    best: 97.1 (STCN)
  • VideoonDAVIS 2016
    J&F
    81.75
    best: 93.4 (ISVOS (BL30K, MS))
  • VideoonDAVIS 2016
    Jaccard (Decay)
    10.9
    best: 28.9 (BVS)
  • VideoonDAVIS 2016
    Jaccard (Mean)
    81.5
    best: 92.5 (ISVOS (BL30K, MS))
  • VideoonDAVIS 2016
    Jaccard (Recall)
    91.7
    best: 98.1 (STCN)
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Decay)
    37.2
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Mean)
    54.4
    best: 91.4 (Cutie+ (base, MEGA))
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Recall)
    61.9
    best: 89.7 (STCN)
  • VideoonDAVIS 2017 (test-dev)
    J&F
    52.8
    best: 88.1 (Cutie+ (base, MEGA))
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Decay)
    34.3
    best: 35.7 (RVOS)
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Mean)
    51.3
    best: 84.7 (Cutie+ (base, MEGA))
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Recall)
    59
    best: 85.5 (STCN)
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Decay)
    19.6
    best: 85.3 (STCN)
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)
    68.6
    best: 93.4 (Cutie+ (base))
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)
    77.7
    best: 94.6 (STCN)
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F
    66.7
    best: 90.7 (SAM2)
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Decay)
    18.9
    best: 32.5 (MuG-W)
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)
    64.8
    best: 87.5 (Cutie+ (base))
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)
    74.1
    best: 91.4 (ISVOS (MS))
  • Video Object SegmentationonDAVIS 2016
    F-measure (Decay)
    10.1
    best: 27.2 (OFL)
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)
    82
    best: 94.7 (SwinB-DeAOT-L)
  • Video Object SegmentationonDAVIS 2016
    F-measure (Recall)
    90.8
    best: 97.1 (STCN)
  • Video Object SegmentationonDAVIS 2016
    J&F
    81.75
    best: 93.4 (ISVOS (BL30K, MS))
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)
    10.9
    best: 28.9 (BVS)
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)
    81.5
    best: 92.5 (ISVOS (BL30K, MS))
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)
    91.7
    best: 98.1 (STCN)
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Decay)
    37.2
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)
    54.4
    best: 91.4 (Cutie+ (base, MEGA))
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Recall)
    61.9
    best: 89.7 (STCN)
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F
    52.8
    best: 88.1 (Cutie+ (base, MEGA))
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)
    34.3
    best: 35.7 (RVOS)
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)
    51.3
    best: 84.7 (Cutie+ (base, MEGA))
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Recall)
    59
    best: 85.5 (STCN)
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Decay)
    19.6
    best: 85.3 (STCN)
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)
    68.6
    best: 93.4 (Cutie+ (base))
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)
    77.7
    best: 94.6 (STCN)
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F
    66.7
    best: 90.7 (SAM2)
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Decay)
    18.9
    best: 32.5 (MuG-W)
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)
    64.8
    best: 87.5 (Cutie+ (base))
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)
    74.1
    best: 91.4 (ISVOS (MS))
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Decay)
    10.1
    best: 27.2 (OFL)
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)
    82
    best: 94.7 (SwinB-DeAOT-L)
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Recall)
    90.8
    best: 97.1 (STCN)
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    J&F
    81.75
    best: 93.4 (ISVOS (BL30K, MS))
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)
    10.9
    best: 28.9 (BVS)
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)
    81.5
    best: 92.5 (ISVOS (BL30K, MS))
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)
    91.7
    best: 98.1 (STCN)
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Decay)
    37.2
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)
    54.4
    best: 91.4 (Cutie+ (base, MEGA))
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Recall)
    61.9
    best: 89.7 (STCN)
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F
    52.8
    best: 88.1 (Cutie+ (base, MEGA))
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)
    34.3
    best: 35.7 (RVOS)
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)
    51.3
    best: 84.7 (Cutie+ (base, MEGA))
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Recall)
    59
    best: 85.5 (STCN)