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Models/InMARS

InMARS

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 SegmentationonCOCO-Stuff-15
    Pixel Accuracy· 2021-07-01
    31
    best: 38.8 (InfoSeg)
    SOTA
    Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial RegularizationarXiv:2107.00691
  • Semantic SegmentationonCOCO-Stuff-3
    Pixel Accuracy· 2021-07-01
    73.1
    best: 80.3 (SAN)
    SOTA
    Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial RegularizationarXiv:2107.00691

Computer Vision2 results

  • Unsupervised Semantic SegmentationonCOCO-Stuff-15
    Pixel Accuracy· 2021-07-01
    31
    best: 38.8 (InfoSeg)
    SOTA
    Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial RegularizationarXiv:2107.00691
  • Unsupervised Semantic SegmentationonCOCO-Stuff-3
    Pixel Accuracy· 2021-07-01
    73.1
    best: 80.3 (SAN)
    SOTA
    Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial RegularizationarXiv:2107.00691

Audio2 results

  • 10-shot image generationonCOCO-Stuff-15
    Pixel Accuracy· 2021-07-01
    31
    best: 38.8 (InfoSeg)
    SOTA
    Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial RegularizationarXiv:2107.00691
  • 10-shot image generationonCOCO-Stuff-3
    Pixel Accuracy· 2021-07-01
    73.1
    best: 80.3 (SAN)
    SOTA
    Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial RegularizationarXiv:2107.00691