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Models/Araslanov et al.

Araslanov et al.

Reported on 15 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 Vision15 results

  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· 2021-11-11
    71.7
    best: 93.4 (Cutie+ (base))
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • VideoonDAVIS 2017 (val)
    F-measure (Recall)· 2021-11-11
    84.8
    best: 94.6 (STCN)
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • VideoonDAVIS 2017 (val)
    J&F· 2021-11-11
    69.4
    best: 90.7 (SAM2)
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· 2021-11-11
    67.1
    best: 87.5 (Cutie+ (base))
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • VideoonDAVIS 2017 (val)
    Jaccard (Recall)· 2021-11-11
    80.9
    best: 91.4 (ISVOS (MS))
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2021-11-11
    71.7
    best: 93.4 (Cutie+ (base))
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2021-11-11
    84.8
    best: 94.6 (STCN)
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2021-11-11
    69.4
    best: 90.7 (SAM2)
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2021-11-11
    67.1
    best: 87.5 (Cutie+ (base))
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2021-11-11
    80.9
    best: 91.4 (ISVOS (MS))
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2021-11-11
    71.7
    best: 93.4 (Cutie+ (base))
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2021-11-11
    84.8
    best: 94.6 (STCN)
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2021-11-11
    69.4
    best: 90.7 (SAM2)
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2021-11-11
    67.1
    best: 87.5 (Cutie+ (base))
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2021-11-11
    80.9
    best: 91.4 (ISVOS (MS))
    Dense Unsupervised Learning for Video SegmentationarXiv:2111.06265