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Models/ISVOS (BL30K, MS)

ISVOS (BL30K, MS)

Reported on 20 benchmarks across 3 tasks · 1 paper · 15 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision24 results

  • VideoonDAVIS 2016
    J&F· 2022-12-13
    93.4
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • VideoonDAVIS 2016
    Jaccard (Mean)· 2022-12-13
    92.5
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2022-12-13
    93
    best: 93.4 (Cutie+ (base))
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • VideoonDAVIS 2017 (val)
    J&F· uses extra data· 2022-12-13
    89.8
    best: 90.7 (SAM2)
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2022-12-13
    86.7
    best: 87.5 (Cutie+ (base))
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Video Object SegmentationonDAVIS 2016
    J&F· 2022-12-13
    93.4
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2022-12-13
    92.5
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2022-12-13
    93
    best: 93.4 (Cutie+ (base))
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· uses extra data· 2022-12-13
    89.8
    best: 90.7 (SAM2)
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2022-12-13
    86.7
    best: 87.5 (Cutie+ (base))
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2022-12-13
    93
    best: 93.4 (Cutie+ (base))
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· uses extra data· 2022-12-13
    89.8
    best: 90.7 (SAM2)
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2022-12-13
    86.7
    best: 87.5 (Cutie+ (base))
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    J&F· uses extra data· 2022-12-13
    93.4
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· uses extra data· 2022-12-13
    92.5
    SOTA
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • VideoonDAVIS 2016
    F-Score· 2022-12-13
    94.2
    best: 94.7 (AOC-MF (val))
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • VideoonDAVIS 2016
    F-measure (Mean)· uses extra data· 2022-12-13
    94.2
    best: 94.7 (SwinB-DeAOT-L)
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • VideoonDAVIS 2016
    J&F· uses extra data· 2022-12-13
    93.4
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • VideoonDAVIS 2016
    Jaccard (Mean)· uses extra data· 2022-12-13
    92.5
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Video Object SegmentationonDAVIS 2016
    F-Score· 2022-12-13
    94.2
    best: 94.7 (AOC-MF (val))
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· uses extra data· 2022-12-13
    94.2
    best: 94.7 (SwinB-DeAOT-L)
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Video Object SegmentationonDAVIS 2016
    J&F· uses extra data· 2022-12-13
    93.4
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· uses extra data· 2022-12-13
    92.5
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· uses extra data· 2022-12-13
    94.2
    best: 94.7 (SwinB-DeAOT-L)
    Look Before You Match: Instance Understanding Matters in Video Object SegmentationarXiv:2212.06826