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Models/SwinB-AOST (L'=3)

SwinB-AOST (L'=3)

Reported on 24 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 Vision24 results

  • VideoonDAVIS 2016
    F-measure (Mean)· 2022-03-22
    94.2
    best: 94.7 (SwinB-DeAOT-L)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2016
    J&F· 2022-03-22
    92.4
    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
    12
    best: 100.1 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2022-03-22
    86.6
    best: 91.4 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    FPS· 2022-03-22
    12
    best: 63.5 (DeAOT-T)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    J&F· 2022-03-22
    82.7
    best: 88.1 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2022-03-22
    78.8
    best: 84.7 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2022-03-22
    94.2
    best: 94.7 (SwinB-DeAOT-L)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2016
    J&F· 2022-03-22
    92.4
    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
    12
    best: 100.1 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2022-03-22
    86.6
    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
    12
    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
    82.7
    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
    78.8
    best: 84.7 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2022-03-22
    94.2
    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
    92.4
    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
    12
    best: 100.1 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2022-03-22
    86.6
    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
    12
    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
    82.7
    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
    78.8
    best: 84.7 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442