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Models/STM-cycle

STM-cycle

Reported on 15 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 Vision15 results

  • VideoonYouTube-VOS 2018
    F-Measure (Seen)· 2020-10-23
    75.8
    best: 91 (Cutie+ (base, MEGA))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • VideoonYouTube-VOS 2018
    F-Measure (Unseen)· 2020-10-23
    70.4
    best: 90.2 (XMem (BL30K, MS))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • VideoonYouTube-VOS 2018
    Jaccard (Seen)· 2020-10-23
    71.7
    best: 86.6 (Cutie+ (base, MEGA))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • VideoonYouTube-VOS 2018
    Overall· 2020-10-23
    69.9
    best: 87.5 (Cutie+ (base, MEGA))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • VideoonYouTube-VOS 2018
    Speed (FPS)· 2020-10-23
    61.4
    best: 65.9 (FRTM)
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· 2020-10-23
    75.8
    best: 91 (Cutie+ (base, MEGA))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· 2020-10-23
    70.4
    best: 90.2 (XMem (BL30K, MS))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· 2020-10-23
    71.7
    best: 86.6 (Cutie+ (base, MEGA))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • Video Object SegmentationonYouTube-VOS 2018
    Overall· 2020-10-23
    69.9
    best: 87.5 (Cutie+ (base, MEGA))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • Video Object SegmentationonYouTube-VOS 2018
    Speed (FPS)· 2020-10-23
    61.4
    best: 65.9 (FRTM)
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· 2020-10-23
    75.8
    best: 91 (Cutie+ (base, MEGA))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· 2020-10-23
    70.4
    best: 90.2 (XMem (BL30K, MS))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· 2020-10-23
    71.7
    best: 86.6 (Cutie+ (base, MEGA))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Overall· 2020-10-23
    69.9
    best: 87.5 (Cutie+ (base, MEGA))
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Speed (FPS)· 2020-10-23
    61.4
    best: 65.9 (FRTM)
    Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationarXiv:2010.12176