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Models/AOT-T (all frames)

AOT-T (all frames)

Reported on 21 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 Vision21 results

  • VideoonYouTube-VOS 2018
    F-Measure (Seen)· 2021-06-04
    84.7
    best: 91 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • VideoonYouTube-VOS 2018
    F-Measure (Unseen)· 2021-06-04
    83.5
    best: 90.2 (XMem (BL30K, MS))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • VideoonYouTube-VOS 2018
    Jaccard (Seen)· 2021-06-04
    80
    best: 86.6 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • VideoonYouTube-VOS 2018
    Jaccard (Unseen)· 2021-06-04
    75.2
    best: 82.2 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • VideoonYouTube-VOS 2018
    Overall· 2021-06-04
    80.9
    best: 87.5 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • VideoonYouTube-VOS 2018
    Params(M)· 2021-06-04
    5.3
    best: 70.3 (SwinB-DeAOT-L)
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • VideoonYouTube-VOS 2018
    Speed (FPS)· 2021-06-04
    41
    best: 65.9 (FRTM)
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· 2021-06-04
    84.7
    best: 91 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· 2021-06-04
    83.5
    best: 90.2 (XMem (BL30K, MS))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· 2021-06-04
    80
    best: 86.6 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Unseen)· 2021-06-04
    75.2
    best: 82.2 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Video Object SegmentationonYouTube-VOS 2018
    Overall· 2021-06-04
    80.9
    best: 87.5 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Video Object SegmentationonYouTube-VOS 2018
    Params(M)· 2021-06-04
    5.3
    best: 70.3 (SwinB-DeAOT-L)
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Video Object SegmentationonYouTube-VOS 2018
    Speed (FPS)· 2021-06-04
    41
    best: 65.9 (FRTM)
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· 2021-06-04
    84.7
    best: 91 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· 2021-06-04
    83.5
    best: 90.2 (XMem (BL30K, MS))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· 2021-06-04
    80
    best: 86.6 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Unseen)· 2021-06-04
    75.2
    best: 82.2 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Overall· 2021-06-04
    80.9
    best: 87.5 (Cutie+ (base, MEGA))
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Params(M)· 2021-06-04
    5.3
    best: 70.3 (SwinB-DeAOT-L)
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638
  • Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
    Speed (FPS)· 2021-06-04
    41
    best: 65.9 (FRTM)
    Associating Objects with Transformers for Video Object SegmentationarXiv:2106.02638