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Models/DAFormer + ProCST

DAFormer + ProCST

Reported on 19 benchmarks across 7 tasks · 1 paper

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

Medical6 results

  • Image GenerationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· uses extra data· 2022-04-25
    68.2
    best: 74.8 (HRDA + PiPa)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Image GenerationonGTAV-to-Cityscapes Labels
    mIoU· uses extra data· 2022-04-25
    69.4
    best: 77.7 (DCF)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Image GenerationonGTAV-to-Cityscapes Labels
    mIoU· uses extra data· 2022-04-25
    69.4
    best: 77.7 (DCF)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Image GenerationonSYNTHIA-to-Cityscapes
    MIoU (16 classes)· uses extra data· 2022-04-25
    61.6
    best: 69.3 (DCF)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Semantic SegmentationonGTAV-to-Cityscapes Labels
    mIoU· uses extra data· 2022-04-25
    69.4
    best: 75.9 (MIC)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Semantic SegmentationonSYNTHIA-to-Cityscapes
    Mean IoU· uses extra data· 2022-04-25
    61.6
    best: 68.2 (HRDA + PiPa)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891

Computer Vision4 results

  • Image-to-Image TranslationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· uses extra data· 2022-04-25
    68.2
    best: 74.8 (HRDA + PiPa)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Image-to-Image TranslationonGTAV-to-Cityscapes Labels
    mIoU· uses extra data· 2022-04-25
    69.4
    best: 77.7 (DCF)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Image-to-Image TranslationonGTAV-to-Cityscapes Labels
    mIoU· uses extra data· 2022-04-25
    69.4
    best: 77.7 (DCF)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Image-to-Image TranslationonSYNTHIA-to-Cityscapes
    MIoU (16 classes)· uses extra data· 2022-04-25
    61.6
    best: 69.3 (DCF)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891

Methodology4 results

  • Domain AdaptationonSYNTHIA-to-Cityscapes
    mIoU· uses extra data· 2022-04-25
    61.6
    best: 78.1 (HALO)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Domain AdaptationonGTA5 to Cityscapes
    mIoU· uses extra data· 2022-04-25
    69.4
    best: 77.8 (HALO)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Domain AdaptationonGTAV-to-Cityscapes Labels
    mIoU· uses extra data· 2022-04-25
    69.4
    best: 75.9 (MIC)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Domain AdaptationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· uses extra data· 2022-04-25
    68.2
    best: 75.9 (DCF)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891

Miscellaneous4 results

  • 1 Image, 2*2 StitchingonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· uses extra data· 2022-04-25
    68.2
    best: 74.8 (HRDA + PiPa)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • 1 Image, 2*2 StitchingonGTAV-to-Cityscapes Labels
    mIoU· uses extra data· 2022-04-25
    69.4
    best: 77.7 (DCF)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • 1 Image, 2*2 StitchingonGTAV-to-Cityscapes Labels
    mIoU· uses extra data· 2022-04-25
    69.4
    best: 77.7 (DCF)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • 1 Image, 2*2 StitchingonSYNTHIA-to-Cityscapes
    MIoU (16 classes)· uses extra data· 2022-04-25
    61.6
    best: 69.3 (DCF)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891

Other2 results

  • Unsupervised Domain AdaptationonGTAV-to-Cityscapes Labels
    mIoU· uses extra data· 2022-04-25
    69.4
    best: 75.9 (MIC)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • Unsupervised Domain AdaptationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· uses extra data· 2022-04-25
    68.2
    best: 75.9 (DCF)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891

Audio2 results

  • 10-shot image generationonGTAV-to-Cityscapes Labels
    mIoU· uses extra data· 2022-04-25
    69.4
    best: 75.9 (MIC)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891
  • 10-shot image generationonSYNTHIA-to-Cityscapes
    Mean IoU· uses extra data· 2022-04-25
    61.6
    best: 68.2 (HRDA + PiPa)
    ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferarXiv:2204.11891