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Models/MHP-VOS

MHP-VOS

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)· 2019-04-17
    19.1
    best: 85.3 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· 2019-04-17
    78.9
    best: 93.4 (Cutie+ (base))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (val)
    F-measure (Recall)· 2019-04-17
    87.2
    best: 94.6 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (val)
    J&F· 2019-04-17
    76.15
    best: 90.7 (SAM2)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (val)
    Jaccard (Decay)· 2019-04-17
    17.8
    best: 32.5 (MuG-W)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· 2019-04-17
    73.4
    best: 87.5 (Cutie+ (base))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (val)
    Jaccard (Recall)· 2019-04-17
    83.5
    best: 91.4 (ISVOS (MS))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2016
    F-measure (Decay)· 2019-04-17
    9
    best: 27.2 (OFL)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2016
    F-measure (Mean)· 2019-04-17
    89.5
    best: 94.7 (SwinB-DeAOT-L)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2016
    F-measure (Recall)· 2019-04-17
    95.5
    best: 97.1 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2016
    J&F· 2019-04-17
    88.55
    best: 93.4 (ISVOS (BL30K, MS))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2016
    Jaccard (Decay)· 2019-04-17
    6.9
    best: 28.9 (BVS)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2016
    Jaccard (Mean)· 2019-04-17
    87.6
    best: 92.5 (ISVOS (BL30K, MS))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2016
    Jaccard (Recall)· 2019-04-17
    97.3
    best: 98.1 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2019-04-17
    19.1
    best: 37.2 (RGMP)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2019-04-17
    72.7
    best: 91.4 (Cutie+ (base, MEGA))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2019-04-17
    82.3
    best: 89.7 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (test-dev)
    J&F· 2019-04-17
    69.5
    best: 88.1 (Cutie+ (base, MEGA))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2019-04-17
    18
    best: 35.7 (RVOS)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2019-04-17
    66.4
    best: 84.7 (Cutie+ (base, MEGA))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2019-04-17
    76
    best: 85.5 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Decay)· 2019-04-17
    19.1
    best: 85.3 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2019-04-17
    78.9
    best: 93.4 (Cutie+ (base))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2019-04-17
    87.2
    best: 94.6 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2019-04-17
    76.15
    best: 90.7 (SAM2)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Decay)· 2019-04-17
    17.8
    best: 32.5 (MuG-W)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2019-04-17
    73.4
    best: 87.5 (Cutie+ (base))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2019-04-17
    83.5
    best: 91.4 (ISVOS (MS))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2016
    F-measure (Decay)· 2019-04-17
    9
    best: 27.2 (OFL)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2019-04-17
    89.5
    best: 94.7 (SwinB-DeAOT-L)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2016
    F-measure (Recall)· 2019-04-17
    95.5
    best: 97.1 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2016
    J&F· 2019-04-17
    88.55
    best: 93.4 (ISVOS (BL30K, MS))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· 2019-04-17
    6.9
    best: 28.9 (BVS)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2019-04-17
    87.6
    best: 92.5 (ISVOS (BL30K, MS))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)· 2019-04-17
    97.3
    best: 98.1 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2019-04-17
    19.1
    best: 37.2 (RGMP)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2019-04-17
    72.7
    best: 91.4 (Cutie+ (base, MEGA))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2019-04-17
    82.3
    best: 89.7 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2019-04-17
    69.5
    best: 88.1 (Cutie+ (base, MEGA))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2019-04-17
    18
    best: 35.7 (RVOS)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2019-04-17
    66.4
    best: 84.7 (Cutie+ (base, MEGA))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2019-04-17
    76
    best: 85.5 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Decay)· 2019-04-17
    19.1
    best: 85.3 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2019-04-17
    78.9
    best: 93.4 (Cutie+ (base))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2019-04-17
    87.2
    best: 94.6 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2019-04-17
    76.15
    best: 90.7 (SAM2)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Decay)· 2019-04-17
    17.8
    best: 32.5 (MuG-W)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2019-04-17
    73.4
    best: 87.5 (Cutie+ (base))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2019-04-17
    83.5
    best: 91.4 (ISVOS (MS))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Decay)· 2019-04-17
    9
    best: 27.2 (OFL)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2019-04-17
    89.5
    best: 94.7 (SwinB-DeAOT-L)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Recall)· 2019-04-17
    95.5
    best: 97.1 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    J&F· 2019-04-17
    88.55
    best: 93.4 (ISVOS (BL30K, MS))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· 2019-04-17
    6.9
    best: 28.9 (BVS)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2019-04-17
    87.6
    best: 92.5 (ISVOS (BL30K, MS))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)· 2019-04-17
    97.3
    best: 98.1 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2019-04-17
    19.1
    best: 37.2 (RGMP)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2019-04-17
    72.7
    best: 91.4 (Cutie+ (base, MEGA))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2019-04-17
    82.3
    best: 89.7 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2019-04-17
    69.5
    best: 88.1 (Cutie+ (base, MEGA))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2019-04-17
    18
    best: 35.7 (RVOS)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2019-04-17
    66.4
    best: 84.7 (Cutie+ (base, MEGA))
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2019-04-17
    76
    best: 85.5 (STCN)
    MHP-VOS: Multiple Hypotheses Propagation for Video Object SegmentationarXiv:1904.08141