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Models/JOINT

JOINT

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

  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· 2021-08-08
    81.2
    best: 93.4 (Cutie+ (base))
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • VideoonDAVIS 2017 (val)
    J&F· 2021-08-08
    78.6
    best: 90.7 (SAM2)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· 2021-08-08
    76
    best: 87.5 (Cutie+ (base))
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (F)· 2021-08-08
    81.2
    best: 83.1 (HMMN)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (G)· 2021-08-08
    78.6
    best: 80.4 (HMMN)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (J)· 2021-08-08
    76
    best: 77.7 (HMMN)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • VideoonDAVIS (no YouTube-VOS training)
    FPS· 2021-08-08
    4
    best: 50.1 (TBD)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2021-08-08
    81.2
    best: 93.4 (Cutie+ (base))
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2021-08-08
    78.6
    best: 90.7 (SAM2)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2021-08-08
    76
    best: 87.5 (Cutie+ (base))
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (F)· 2021-08-08
    81.2
    best: 83.1 (HMMN)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (G)· 2021-08-08
    78.6
    best: 80.4 (HMMN)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (J)· 2021-08-08
    76
    best: 77.7 (HMMN)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    FPS· 2021-08-08
    4
    best: 50.1 (TBD)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2021-08-08
    81.2
    best: 93.4 (Cutie+ (base))
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2021-08-08
    78.6
    best: 90.7 (SAM2)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2021-08-08
    76
    best: 87.5 (Cutie+ (base))
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (F)· 2021-08-08
    81.2
    best: 83.1 (HMMN)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (G)· 2021-08-08
    78.6
    best: 80.4 (HMMN)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (J)· 2021-08-08
    76
    best: 77.7 (HMMN)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    FPS· 2021-08-08
    4
    best: 50.1 (TBD)
    Joint Inductive and Transductive Learning for Video Object SegmentationarXiv:2108.03679