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Models/CDA

CDA

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

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

Computer Vision2 results

  • Image-to-Image TranslationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· 2017-07-29
    29
    best: 74.8 (HRDA + PiPa)
    SOTA
    Curriculum Domain Adaptation for Semantic Segmentation of Urban ScenesarXiv:1707.09465
  • Image-to-Image TranslationonGTAV-to-Cityscapes Labels
    mIoU· 2017-07-29
    28.9
    best: 77.7 (DCF)
    Curriculum Domain Adaptation for Semantic Segmentation of Urban ScenesarXiv:1707.09465

Medical2 results

  • Image GenerationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· 2017-07-29
    29
    best: 74.8 (HRDA + PiPa)
    SOTA
    Curriculum Domain Adaptation for Semantic Segmentation of Urban ScenesarXiv:1707.09465
  • Image GenerationonGTAV-to-Cityscapes Labels
    mIoU· 2017-07-29
    28.9
    best: 77.7 (DCF)
    Curriculum Domain Adaptation for Semantic Segmentation of Urban ScenesarXiv:1707.09465

Miscellaneous2 results

  • 1 Image, 2*2 StitchingonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· 2017-07-29
    29
    best: 74.8 (HRDA + PiPa)
    SOTA
    Curriculum Domain Adaptation for Semantic Segmentation of Urban ScenesarXiv:1707.09465
  • 1 Image, 2*2 StitchingonGTAV-to-Cityscapes Labels
    mIoU· 2017-07-29
    28.9
    best: 77.7 (DCF)
    Curriculum Domain Adaptation for Semantic Segmentation of Urban ScenesarXiv:1707.09465