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Models/GSANet

GSANet

Reported on 8 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision8 results

  • VideoonDAVIS 2016 val
    F· 2023-03-15
    89.6
    best: 90.2 (DEVA (DIS))
    SOTA
    Guided Slot Attention for Unsupervised Video Object SegmentationarXiv:2303.08314
  • VideoonDAVIS 2016 val
    G· 2023-03-15
    88.9
    SOTA
    Guided Slot Attention for Unsupervised Video Object SegmentationarXiv:2303.08314
  • VideoonDAVIS 2016 val
    J· 2023-03-15
    88.3
    SOTA
    Guided Slot Attention for Unsupervised Video Object SegmentationarXiv:2303.08314
  • Video Object SegmentationonDAVIS 2016 val
    F· 2023-03-15
    89.6
    best: 90.2 (DEVA (DIS))
    SOTA
    Guided Slot Attention for Unsupervised Video Object SegmentationarXiv:2303.08314
  • Video Object SegmentationonDAVIS 2016 val
    G· 2023-03-15
    88.9
    SOTA
    Guided Slot Attention for Unsupervised Video Object SegmentationarXiv:2303.08314
  • Video Object SegmentationonDAVIS 2016 val
    J· 2023-03-15
    88.3
    SOTA
    Guided Slot Attention for Unsupervised Video Object SegmentationarXiv:2303.08314
  • VideoonFBMS test
    J· 2023-03-15
    83.1
    best: 84.7 (FakeFlow)
    Guided Slot Attention for Unsupervised Video Object SegmentationarXiv:2303.08314
  • Video Object SegmentationonFBMS test
    J· 2023-03-15
    83.1
    best: 84.7 (FakeFlow)
    Guided Slot Attention for Unsupervised Video Object SegmentationarXiv:2303.08314