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Models/R50-AOST (L'=2)

R50-AOST (L'=2)

Reported on 75 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 Vision75 results

  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· 2022-03-22
    88
    best: 93.4 (Cutie+ (base))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (val)
    J&F· 2022-03-22
    85.3
    best: 90.7 (SAM2)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· 2022-03-22
    82.5
    best: 87.5 (Cutie+ (base))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (val)
    Params(M)· 2022-03-22
    13.9
    best: 224.4 (SAM2)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (val)
    Speed (FPS)· 2022-03-22
    24.3
    best: 90.6 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2016
    F-measure (Mean)· 2022-03-22
    93.4
    best: 94.7 (SwinB-DeAOT-L)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2016
    J&F· 2022-03-22
    92
    best: 93.4 (ISVOS (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2016
    Jaccard (Mean)· 2022-03-22
    90.5
    best: 92.5 (ISVOS (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2016
    Speed (FPS)· 2022-03-22
    24.3
    best: 100.1 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2019
    F-Measure (Seen)· 2022-03-22
    88
    best: 90.6 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2019
    F-Measure (Unseen)· 2022-03-22
    87.1
    best: 90.5 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2019
    Jaccard (Seen)· 2022-03-22
    83.3
    best: 86.3 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2019
    Jaccard (Unseen)· 2022-03-22
    78.9
    best: 754.8 (R50-AOST (L'=1))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2019
    Overall· 2022-03-22
    84.3
    best: 87.5 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2022-03-22
    81.7
    best: 91.4 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    FPS· 2022-03-22
    24.3
    best: 63.5 (DeAOT-T)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    J&F· 2022-03-22
    78.1
    best: 88.1 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2022-03-22
    74.5
    best: 84.7 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2018
    F-Measure (Seen)· 2022-03-22
    88.5
    best: 91 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2018
    F-Measure (Unseen)· 2022-03-22
    87.2
    best: 90.2 (XMem (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2018
    Jaccard (Seen)· 2022-03-22
    83.5
    best: 86.6 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2018
    Jaccard (Unseen)· 2022-03-22
    78.8
    best: 82.2 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2018
    Overall· 2022-03-22
    84.5
    best: 87.5 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2018
    Params(M)· 2022-03-22
    13.9
    best: 70.3 (SwinB-DeAOT-L)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonYouTube-VOS 2018
    Speed (FPS)· 2022-03-22
    20.2
    best: 78.5 (RPCMVOS)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2022-03-22
    88
    best: 93.4 (Cutie+ (base))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2022-03-22
    85.3
    best: 90.7 (SAM2)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2022-03-22
    82.5
    best: 87.5 (Cutie+ (base))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (val)
    Params(M)· 2022-03-22
    13.9
    best: 224.4 (SAM2)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (val)
    Speed (FPS)· 2022-03-22
    24.3
    best: 90.6 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2022-03-22
    93.4
    best: 94.7 (SwinB-DeAOT-L)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2016
    J&F· 2022-03-22
    92
    best: 93.4 (ISVOS (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2022-03-22
    90.5
    best: 92.5 (ISVOS (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2016
    Speed (FPS)· 2022-03-22
    24.3
    best: 100.1 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2019
    F-Measure (Seen)· 2022-03-22
    88
    best: 90.6 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2019
    F-Measure (Unseen)· 2022-03-22
    87.1
    best: 90.5 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2019
    Jaccard (Seen)· 2022-03-22
    83.3
    best: 86.3 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2019
    Jaccard (Unseen)· 2022-03-22
    78.9
    best: 754.8 (R50-AOST (L'=1))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2019
    Overall· 2022-03-22
    84.3
    best: 87.5 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2022-03-22
    81.7
    best: 91.4 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    FPS· 2022-03-22
    24.3
    best: 63.5 (DeAOT-T)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2022-03-22
    78.1
    best: 88.1 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2022-03-22
    74.5
    best: 84.7 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· 2022-03-22
    88.5
    best: 91 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· 2022-03-22
    87.2
    best: 90.2 (XMem (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· 2022-03-22
    83.5
    best: 86.6 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Unseen)· 2022-03-22
    78.8
    best: 82.2 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2018
    Overall· 2022-03-22
    84.5
    best: 87.5 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2018
    Params(M)· 2022-03-22
    13.9
    best: 70.3 (SwinB-DeAOT-L)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonYouTube-VOS 2018
    Speed (FPS)· 2022-03-22
    20.2
    best: 78.5 (RPCMVOS)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2022-03-22
    88
    best: 93.4 (Cutie+ (base))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2022-03-22
    85.3
    best: 90.7 (SAM2)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2022-03-22
    82.5
    best: 87.5 (Cutie+ (base))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Params(M)· 2022-03-22
    13.9
    best: 224.4 (SAM2)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Speed (FPS)· 2022-03-22
    24.3
    best: 90.6 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2022-03-22
    93.4
    best: 94.7 (SwinB-DeAOT-L)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    J&F· 2022-03-22
    92
    best: 93.4 (ISVOS (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2022-03-22
    90.5
    best: 92.5 (ISVOS (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Speed (FPS)· 2022-03-22
    24.3
    best: 100.1 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
    F-Measure (Seen)· 2022-03-22
    88
    best: 90.6 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
    F-Measure (Unseen)· 2022-03-22
    87.1
    best: 90.5 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
    Jaccard (Seen)· 2022-03-22
    83.3
    best: 86.3 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
    Jaccard (Unseen)· 2022-03-22
    78.9
    best: 754.8 (R50-AOST (L'=1))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
    Overall· 2022-03-22
    84.3
    best: 87.5 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2022-03-22
    81.7
    best: 91.4 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    FPS· 2022-03-22
    24.3
    best: 63.5 (DeAOT-T)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2022-03-22
    78.1
    best: 88.1 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2022-03-22
    74.5
    best: 84.7 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· 2022-03-22
    88.5
    best: 91 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· 2022-03-22
    87.2
    best: 90.2 (XMem (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· 2022-03-22
    83.5
    best: 86.6 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Unseen)· 2022-03-22
    78.8
    best: 82.2 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Overall· 2022-03-22
    84.5
    best: 87.5 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Params(M)· 2022-03-22
    13.9
    best: 70.3 (SwinB-DeAOT-L)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Speed (FPS)· 2022-03-22
    20.2
    best: 78.5 (RPCMVOS)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442