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Models/S2S

S2S

Reported on 15 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 Vision15 results

  • VideoonYouTube-VOS 2018
    F-Measure (Seen)· 2018-09-03
    70
    best: 91 (Cutie+ (base, MEGA))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • VideoonYouTube-VOS 2018
    F-Measure (Unseen)· 2018-09-03
    61.2
    best: 90.2 (XMem (BL30K, MS))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • VideoonYouTube-VOS 2018
    Jaccard (Seen)· 2018-09-03
    71
    best: 86.6 (Cutie+ (base, MEGA))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • VideoonYouTube-VOS 2018
    Overall· 2018-09-03
    64.4
    best: 87.5 (Cutie+ (base, MEGA))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • VideoonYouTube-VOS 2018
    Speed (FPS)· 2018-09-03
    55.5
    best: 65.9 (FRTM)
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· 2018-09-03
    70
    best: 91 (Cutie+ (base, MEGA))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· 2018-09-03
    61.2
    best: 90.2 (XMem (BL30K, MS))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· 2018-09-03
    71
    best: 86.6 (Cutie+ (base, MEGA))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • Video Object SegmentationonYouTube-VOS 2018
    Overall· 2018-09-03
    64.4
    best: 87.5 (Cutie+ (base, MEGA))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • Video Object SegmentationonYouTube-VOS 2018
    Speed (FPS)· 2018-09-03
    55.5
    best: 65.9 (FRTM)
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· 2018-09-03
    70
    best: 91 (Cutie+ (base, MEGA))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· 2018-09-03
    61.2
    best: 90.2 (XMem (BL30K, MS))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· 2018-09-03
    71
    best: 86.6 (Cutie+ (base, MEGA))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Overall· 2018-09-03
    64.4
    best: 87.5 (Cutie+ (base, MEGA))
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Speed (FPS)· 2018-09-03
    55.5
    best: 65.9 (FRTM)
    SOTA
    YouTube-VOS: Sequence-to-Sequence Video Object SegmentationarXiv:1809.00461