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Models/e-OSVOS

e-OSVOS

Reported on 51 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 Vision51 results

  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2020-12-03
    80
    best: 93.4 (Cutie+ (base))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonDAVIS 2017 (val)
    J&F· uses extra data· 2020-12-03
    77.2
    best: 90.7 (SAM2)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonDAVIS 2017 (val)
    Jaccard (Decay)· uses extra data· 2020-12-03
    13
    best: 32.5 (MuG-W)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2020-12-03
    74.4
    best: 87.5 (Cutie+ (base))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonDAVIS 2016
    F-measure (Mean)· uses extra data· 2020-12-03
    87
    best: 94.7 (SwinB-DeAOT-L)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonDAVIS 2016
    J&F· uses extra data· 2020-12-03
    86.8
    best: 93.4 (ISVOS (BL30K, MS))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonDAVIS 2016
    Jaccard (Decay)· uses extra data· 2020-12-03
    4.5
    best: 28.9 (BVS)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonDAVIS 2016
    Jaccard (Mean)· uses extra data· 2020-12-03
    86.6
    best: 92.5 (ISVOS (BL30K, MS))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2020-12-03
    68.6
    best: 91.4 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonDAVIS 2017 (test-dev)
    J&F· 2020-12-03
    64.8
    best: 88.1 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2020-12-03
    22.1
    best: 35.7 (RVOS)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2020-12-03
    60.9
    best: 84.7 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonYouTube-VOS 2018
    F-Measure (Seen)· uses extra data· 2020-12-03
    66
    best: 91 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonYouTube-VOS 2018
    F-Measure (Unseen)· uses extra data· 2020-12-03
    73.8
    best: 90.2 (XMem (BL30K, MS))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonYouTube-VOS 2018
    Jaccard (Seen)· uses extra data· 2020-12-03
    71.7
    best: 86.6 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonYouTube-VOS 2018
    Jaccard (Unseen)· uses extra data· 2020-12-03
    74.3
    best: 82.2 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • VideoonYouTube-VOS 2018
    Overall· uses extra data· 2020-12-03
    71.4
    best: 87.5 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2020-12-03
    80
    best: 93.4 (Cutie+ (base))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· uses extra data· 2020-12-03
    77.2
    best: 90.7 (SAM2)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Decay)· uses extra data· 2020-12-03
    13
    best: 32.5 (MuG-W)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2020-12-03
    74.4
    best: 87.5 (Cutie+ (base))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· uses extra data· 2020-12-03
    87
    best: 94.7 (SwinB-DeAOT-L)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2016
    J&F· uses extra data· 2020-12-03
    86.8
    best: 93.4 (ISVOS (BL30K, MS))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· uses extra data· 2020-12-03
    4.5
    best: 28.9 (BVS)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· uses extra data· 2020-12-03
    86.6
    best: 92.5 (ISVOS (BL30K, MS))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2020-12-03
    68.6
    best: 91.4 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2020-12-03
    64.8
    best: 88.1 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2020-12-03
    22.1
    best: 35.7 (RVOS)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2020-12-03
    60.9
    best: 84.7 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· uses extra data· 2020-12-03
    66
    best: 91 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· uses extra data· 2020-12-03
    73.8
    best: 90.2 (XMem (BL30K, MS))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· uses extra data· 2020-12-03
    71.7
    best: 86.6 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Unseen)· uses extra data· 2020-12-03
    74.3
    best: 82.2 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Video Object SegmentationonYouTube-VOS 2018
    Overall· uses extra data· 2020-12-03
    71.4
    best: 87.5 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2020-12-03
    80
    best: 93.4 (Cutie+ (base))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· uses extra data· 2020-12-03
    77.2
    best: 90.7 (SAM2)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Decay)· uses extra data· 2020-12-03
    13
    best: 32.5 (MuG-W)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2020-12-03
    74.4
    best: 87.5 (Cutie+ (base))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· uses extra data· 2020-12-03
    87
    best: 94.7 (SwinB-DeAOT-L)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    J&F· uses extra data· 2020-12-03
    86.8
    best: 93.4 (ISVOS (BL30K, MS))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· uses extra data· 2020-12-03
    4.5
    best: 28.9 (BVS)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· uses extra data· 2020-12-03
    86.6
    best: 92.5 (ISVOS (BL30K, MS))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2020-12-03
    68.6
    best: 91.4 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2020-12-03
    64.8
    best: 88.1 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2020-12-03
    22.1
    best: 35.7 (RVOS)
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2020-12-03
    60.9
    best: 84.7 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· uses extra data· 2020-12-03
    66
    best: 91 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· uses extra data· 2020-12-03
    73.8
    best: 90.2 (XMem (BL30K, MS))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· uses extra data· 2020-12-03
    71.7
    best: 86.6 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Unseen)· uses extra data· 2020-12-03
    74.3
    best: 82.2 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Overall· uses extra data· 2020-12-03
    71.4
    best: 87.5 (Cutie+ (base, MEGA))
    Make One-Shot Video Object Segmentation Efficient AgainarXiv:2012.01866