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Models/LOCATE

LOCATE

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

  • VideoonFBMS-59
    mIoU· 2023-08-22
    68.8
    SOTA
    LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingarXiv:2308.11239
  • VideoonSegTrack-v2
    mIoU· 2023-08-22
    79.9
    SOTA
    LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingarXiv:2308.11239
  • VideoonDAVIS 2016
    Contour Accuracy· 2023-08-22
    88.7
    SOTA
    LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingarXiv:2308.11239
  • Video Object SegmentationonFBMS-59
    mIoU· 2023-08-22
    68.8
    SOTA
    LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingarXiv:2308.11239
  • Video Object SegmentationonSegTrack-v2
    mIoU· 2023-08-22
    79.9
    SOTA
    LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingarXiv:2308.11239
  • Video Object SegmentationonDAVIS 2016
    Contour Accuracy· 2023-08-22
    88.7
    SOTA
    LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingarXiv:2308.11239
  • VideoonDAVIS 2016
    mIoU· 2023-08-22
    80.9
    best: 84.5 (VOSwL (Mask+Language))
    LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingarXiv:2308.11239
  • Video Object SegmentationonDAVIS 2016
    mIoU· 2023-08-22
    80.9
    best: 84.5 (VOSwL (Mask+Language))
    LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingarXiv:2308.11239