TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/SwinB-AOST (L'=3, MS)

SwinB-AOST (L'=3, MS)

Reported on 39 benchmarks across 3 tasks · 1 paper · 9 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision39 results

  • VideoonDAVIS 2016
    F-measure (Mean)· 2022-03-22
    94.5
    best: 94.7 (SwinB-DeAOT-L)
    SOTA
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2022-03-22
    88.5
    best: 91.4 (Cutie+ (base, MEGA))
    SOTA
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    J&F· 2022-03-22
    84.7
    best: 88.1 (Cutie+ (base, MEGA))
    SOTA
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2022-03-22
    94.5
    best: 94.7 (SwinB-DeAOT-L)
    SOTA
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2022-03-22
    88.5
    best: 91.4 (Cutie+ (base, MEGA))
    SOTA
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2022-03-22
    84.7
    best: 88.1 (Cutie+ (base, MEGA))
    SOTA
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2022-03-22
    94.5
    best: 94.7 (SwinB-DeAOT-L)
    SOTA
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2022-03-22
    88.5
    best: 91.4 (Cutie+ (base, MEGA))
    SOTA
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2022-03-22
    84.7
    best: 88.1 (Cutie+ (base, MEGA))
    SOTA
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· 2022-03-22
    89.5
    best: 93.4 (Cutie+ (base))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (val)
    J&F· 2022-03-22
    86.7
    best: 90.7 (SAM2)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· 2022-03-22
    83.8
    best: 87.5 (Cutie+ (base))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (val)
    Params(M)· 2022-03-22
    65.6
    best: 224.4 (SAM2)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (val)
    Speed (FPS)· 2022-03-22
    1.3
    best: 90.6 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2016
    J&F· 2022-03-22
    93
    best: 93.4 (ISVOS (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2016
    Jaccard (Mean)· 2022-03-22
    91.5
    best: 92.5 (ISVOS (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2016
    Speed (FPS)· 2022-03-22
    1.3
    best: 100.1 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    FPS· 2022-03-22
    1.3
    best: 63.5 (DeAOT-T)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2022-03-22
    80.9
    best: 84.7 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2022-03-22
    89.5
    best: 93.4 (Cutie+ (base))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2022-03-22
    86.7
    best: 90.7 (SAM2)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2022-03-22
    83.8
    best: 87.5 (Cutie+ (base))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (val)
    Params(M)· 2022-03-22
    65.6
    best: 224.4 (SAM2)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (val)
    Speed (FPS)· 2022-03-22
    1.3
    best: 90.6 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2016
    J&F· 2022-03-22
    93
    best: 93.4 (ISVOS (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2022-03-22
    91.5
    best: 92.5 (ISVOS (BL30K, MS))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2016
    Speed (FPS)· 2022-03-22
    1.3
    best: 100.1 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    FPS· 2022-03-22
    1.3
    best: 63.5 (DeAOT-T)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2022-03-22
    80.9
    best: 84.7 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2022-03-22
    89.5
    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
    86.7
    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
    83.8
    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
    65.6
    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
    1.3
    best: 90.6 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    J&F· 2022-03-22
    93
    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
    91.5
    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
    1.3
    best: 100.1 (MobileVOS (BL30K))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    FPS· 2022-03-22
    1.3
    best: 63.5 (DeAOT-T)
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2022-03-22
    80.9
    best: 84.7 (Cutie+ (base, MEGA))
    Scalable Video Object Segmentation with Identification MechanismarXiv:2203.11442