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Models/Cutie+ (base, MEGA)

Cutie+ (base, MEGA)

Reported on 72 benchmarks across 3 tasks · 1 paper · 42 SOTA

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

Computer Vision72 results

  • VideoonMOSE
    F· 2023-10-19
    75.8
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonMOSE
    J· 2023-10-19
    67.6
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonMOSE
    J&F· 2023-10-19
    71.7
    best: 77.9 (SAM2)
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2019
    F-Measure (Seen)· uses extra data· 2023-10-19
    90.6
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2019
    F-Measure (Unseen)· uses extra data· 2023-10-19
    90.5
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2019
    Jaccard (Seen)· uses extra data· 2023-10-19
    86.3
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2019
    Overall· uses extra data· 2023-10-19
    87.5
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Mean)· uses extra data· 2023-10-19
    91.4
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonDAVIS 2017 (test-dev)
    J&F· uses extra data· 2023-10-19
    88.1
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Mean)· uses extra data· 2023-10-19
    84.7
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2018
    F-Measure (Seen)· uses extra data· 2023-10-19
    91
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2018
    Jaccard (Seen)· uses extra data· 2023-10-19
    86.6
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2018
    Jaccard (Unseen)· uses extra data· 2023-10-19
    82.2
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2018
    Overall· uses extra data· 2023-10-19
    87.5
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonMOSE
    F· 2023-10-19
    75.8
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonMOSE
    J· 2023-10-19
    67.6
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonMOSE
    J&F· 2023-10-19
    71.7
    best: 77.9 (SAM2)
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2019
    F-Measure (Seen)· uses extra data· 2023-10-19
    90.6
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2019
    F-Measure (Unseen)· uses extra data· 2023-10-19
    90.5
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2019
    Jaccard (Seen)· uses extra data· 2023-10-19
    86.3
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2019
    Overall· uses extra data· 2023-10-19
    87.5
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· uses extra data· 2023-10-19
    91.4
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· uses extra data· 2023-10-19
    88.1
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· uses extra data· 2023-10-19
    84.7
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· uses extra data· 2023-10-19
    91
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· uses extra data· 2023-10-19
    86.6
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Unseen)· uses extra data· 2023-10-19
    82.2
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2018
    Overall· uses extra data· 2023-10-19
    87.5
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonMOSE
    F· 2023-10-19
    75.8
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonMOSE
    J· 2023-10-19
    67.6
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonMOSE
    J&F· 2023-10-19
    71.7
    best: 77.9 (SAM2)
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
    F-Measure (Seen)· uses extra data· 2023-10-19
    90.6
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
    F-Measure (Unseen)· uses extra data· 2023-10-19
    90.5
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
    Jaccard (Seen)· uses extra data· 2023-10-19
    86.3
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
    Overall· uses extra data· 2023-10-19
    87.5
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· uses extra data· 2023-10-19
    91.4
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· uses extra data· 2023-10-19
    88.1
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· uses extra data· 2023-10-19
    84.7
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· uses extra data· 2023-10-19
    91
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· uses extra data· 2023-10-19
    86.6
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Unseen)· uses extra data· 2023-10-19
    82.2
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Overall· uses extra data· 2023-10-19
    87.5
    SOTA
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonMOSE
    FPS· 2023-10-19
    17.9
    best: 45.5 (Cutie (small, MEGA))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2023-10-19
    90.8
    best: 93.4 (Cutie+ (base))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonDAVIS 2017 (val)
    J&F· uses extra data· 2023-10-19
    88.1
    best: 90.7 (SAM2)
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2023-10-19
    85.5
    best: 87.5 (Cutie+ (base))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonDAVIS 2017 (val)
    Speed (FPS)· uses extra data· 2023-10-19
    17.9
    best: 90.6 (MobileVOS (BL30K))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2019
    J&F· uses extra data· 2023-10-19
    17.9
    best: 82.8 (STCN + TrickVOS (PT))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2019
    Jaccard (Unseen)· uses extra data· 2023-10-19
    82.7
    best: 754.8 (R50-AOST (L'=1))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonDAVIS 2017 (test-dev)
    FPS· uses extra data· 2023-10-19
    17.9
    best: 63.5 (DeAOT-T)
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2018
    F-Measure (Unseen)· uses extra data· 2023-10-19
    90.1
    best: 90.2 (XMem (BL30K, MS))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • VideoonYouTube-VOS 2018
    Speed (FPS)· uses extra data· 2023-10-19
    17.9
    best: 78.5 (RPCMVOS)
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonMOSE
    FPS· 2023-10-19
    17.9
    best: 45.5 (Cutie (small, MEGA))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2023-10-19
    90.8
    best: 93.4 (Cutie+ (base))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· uses extra data· 2023-10-19
    88.1
    best: 90.7 (SAM2)
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2023-10-19
    85.5
    best: 87.5 (Cutie+ (base))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonDAVIS 2017 (val)
    Speed (FPS)· uses extra data· 2023-10-19
    17.9
    best: 90.6 (MobileVOS (BL30K))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2019
    J&F· uses extra data· 2023-10-19
    17.9
    best: 82.8 (STCN + TrickVOS (PT))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2019
    Jaccard (Unseen)· uses extra data· 2023-10-19
    82.7
    best: 754.8 (R50-AOST (L'=1))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    FPS· uses extra data· 2023-10-19
    17.9
    best: 63.5 (DeAOT-T)
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· uses extra data· 2023-10-19
    90.1
    best: 90.2 (XMem (BL30K, MS))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Video Object SegmentationonYouTube-VOS 2018
    Speed (FPS)· uses extra data· 2023-10-19
    17.9
    best: 78.5 (RPCMVOS)
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonMOSE
    FPS· 2023-10-19
    17.9
    best: 45.5 (Cutie (small, MEGA))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2023-10-19
    90.8
    best: 93.4 (Cutie+ (base))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· uses extra data· 2023-10-19
    88.1
    best: 90.7 (SAM2)
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2023-10-19
    85.5
    best: 87.5 (Cutie+ (base))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Speed (FPS)· uses extra data· 2023-10-19
    17.9
    best: 90.6 (MobileVOS (BL30K))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
    J&F· uses extra data· 2023-10-19
    17.9
    best: 82.8 (STCN + TrickVOS (PT))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
    Jaccard (Unseen)· uses extra data· 2023-10-19
    82.7
    best: 754.8 (R50-AOST (L'=1))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    FPS· uses extra data· 2023-10-19
    17.9
    best: 63.5 (DeAOT-T)
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· uses extra data· 2023-10-19
    90.1
    best: 90.2 (XMem (BL30K, MS))
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Speed (FPS)· uses extra data· 2023-10-19
    17.9
    best: 78.5 (RPCMVOS)
    Putting the Object Back into Video Object SegmentationarXiv:2310.12982