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Models/Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval)

Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval)

Reported on 6 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.

Medical3 results

  • Semantic SegmentationonPascal VOC 2012 6.25% labeled
    Validation mIoU· 2022-10-18
    52.15
    best: 82 (SemiOVS (w/ PrevMatch, ResNet-101))
    Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasksarXiv:2210.09919
  • Semantic SegmentationonPASCAL VOC 2012 25% labeled
    Validation mIoU· 2022-10-18
    69.02
    best: 81.3 (SemiOVS (w/ PrevMatch, ResNet-101))
    Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasksarXiv:2210.09919
  • Semantic SegmentationonCityscapes with extra (no coarse labels)
    Validation mIoU· 2022-10-18
    79.98
    best: 80.82 (Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval))
    Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasksarXiv:2210.09919

Audio3 results

  • 10-shot image generationonPascal VOC 2012 6.25% labeled
    Validation mIoU· 2022-10-18
    52.15
    best: 82 (SemiOVS (w/ PrevMatch, ResNet-101))
    Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasksarXiv:2210.09919
  • 10-shot image generationonPASCAL VOC 2012 25% labeled
    Validation mIoU· 2022-10-18
    69.02
    best: 81.3 (SemiOVS (w/ PrevMatch, ResNet-101))
    Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasksarXiv:2210.09919
  • 10-shot image generationonCityscapes with extra (no coarse labels)
    Validation mIoU· 2022-10-18
    79.98
    best: 80.82 (Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval))
    Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasksarXiv:2210.09919