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Models/MaskContrast (+Saliency map)

MaskContrast (+Saliency map)

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Medical2 results

  • Semantic SegmentationonImageNet-S-50
    mIoU (test)· 2021-02-11
    24.2
    best: 42.3 (PASS (+Saliency map))
    SOTA
    Unsupervised Semantic Segmentation by Contrasting Object Mask ProposalsarXiv:2102.06191
  • Semantic SegmentationonImageNet-S-50
    mIoU (val)· 2021-02-11
    24.6
    best: 43.3 (PASS (+Saliency map))
    SOTA
    Unsupervised Semantic Segmentation by Contrasting Object Mask ProposalsarXiv:2102.06191

Computer Vision2 results

  • Unsupervised Semantic SegmentationonImageNet-S-50
    mIoU (test)· 2021-02-11
    24.2
    best: 42.3 (PASS (+Saliency map))
    SOTA
    Unsupervised Semantic Segmentation by Contrasting Object Mask ProposalsarXiv:2102.06191
  • Unsupervised Semantic SegmentationonImageNet-S-50
    mIoU (val)· 2021-02-11
    24.6
    best: 43.3 (PASS (+Saliency map))
    SOTA
    Unsupervised Semantic Segmentation by Contrasting Object Mask ProposalsarXiv:2102.06191

Audio2 results

  • 10-shot image generationonImageNet-S-50
    mIoU (test)· 2021-02-11
    24.2
    best: 42.3 (PASS (+Saliency map))
    SOTA
    Unsupervised Semantic Segmentation by Contrasting Object Mask ProposalsarXiv:2102.06191
  • 10-shot image generationonImageNet-S-50
    mIoU (val)· 2021-02-11
    24.6
    best: 43.3 (PASS (+Saliency map))
    SOTA
    Unsupervised Semantic Segmentation by Contrasting Object Mask ProposalsarXiv:2102.06191