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Models/GNNannot

GNNannot

Reported on 8 benchmarks across 2 tasks · 1 paper

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

Computer Vision8 results

  • VideoonDAVIS 2017
    AUC-J· 2021-03-05
    0.759
    best: 0.849 (MiVOS)
    Fast Interactive Video Object Segmentation with Graph Neural NetworksarXiv:2103.03821
  • VideoonDAVIS 2017
    AUC-J&F· 2021-03-05
    0.782
    best: 0.879 (MiVOS)
    Fast Interactive Video Object Segmentation with Graph Neural NetworksarXiv:2103.03821
  • VideoonDAVIS 2017
    J&F@60s· 2021-03-05
    0.79
    best: 0.885 (MiVOS)
    Fast Interactive Video Object Segmentation with Graph Neural NetworksarXiv:2103.03821
  • VideoonDAVIS 2017
    J@60s· 2021-03-05
    0.767
    best: 0.854 (MiVOS)
    Fast Interactive Video Object Segmentation with Graph Neural NetworksarXiv:2103.03821
  • Video Object SegmentationonDAVIS 2017
    AUC-J· 2021-03-05
    0.759
    best: 0.849 (MiVOS)
    Fast Interactive Video Object Segmentation with Graph Neural NetworksarXiv:2103.03821
  • Video Object SegmentationonDAVIS 2017
    AUC-J&F· 2021-03-05
    0.782
    best: 0.879 (MiVOS)
    Fast Interactive Video Object Segmentation with Graph Neural NetworksarXiv:2103.03821
  • Video Object SegmentationonDAVIS 2017
    J&F@60s· 2021-03-05
    0.79
    best: 0.885 (MiVOS)
    Fast Interactive Video Object Segmentation with Graph Neural NetworksarXiv:2103.03821
  • Video Object SegmentationonDAVIS 2017
    J@60s· 2021-03-05
    0.767
    best: 0.854 (MiVOS)
    Fast Interactive Video Object Segmentation with Graph Neural NetworksarXiv:2103.03821