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Models/ProDA

ProDA

Reported on 9 benchmarks across 6 tasks · 1 paper · 9 SOTA

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

Medical3 results

  • Image GenerationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· 2021-01-26
    62
    best: 74.8 (HRDA + PiPa)
    SOTA
    Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationarXiv:2101.10979
  • Image GenerationonGTAV-to-Cityscapes Labels
    mIoU· 2021-01-26
    57.5
    best: 77.7 (DCF)
    SOTA
    Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationarXiv:2101.10979
  • Semantic SegmentationonGTAV-to-Cityscapes Labels
    mIoU· 2021-01-26
    57.5
    best: 75.9 (MIC)
    SOTA
    Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationarXiv:2101.10979

Computer Vision2 results

  • Image-to-Image TranslationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· 2021-01-26
    62
    best: 74.8 (HRDA + PiPa)
    SOTA
    Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationarXiv:2101.10979
  • Image-to-Image TranslationonGTAV-to-Cityscapes Labels
    mIoU· 2021-01-26
    57.5
    best: 77.7 (DCF)
    SOTA
    Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationarXiv:2101.10979

Miscellaneous2 results

  • 1 Image, 2*2 StitchingonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· 2021-01-26
    62
    best: 74.8 (HRDA + PiPa)
    SOTA
    Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationarXiv:2101.10979
  • 1 Image, 2*2 StitchingonGTAV-to-Cityscapes Labels
    mIoU· 2021-01-26
    57.5
    best: 77.7 (DCF)
    SOTA
    Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationarXiv:2101.10979

Methodology1 result

  • Domain AdaptationonGTA5 to Cityscapes
    mIoU· 2021-01-26
    57.5
    best: 77.8 (HALO)
    SOTA
    Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationarXiv:2101.10979

Audio1 result

  • 10-shot image generationonGTAV-to-Cityscapes Labels
    mIoU· 2021-01-26
    57.5
    best: 75.9 (MIC)
    SOTA
    Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationarXiv:2101.10979