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Models/DAFormer

DAFormer

Reported on 28 benchmarks across 8 tasks · 2 papers · 15 SOTA

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

Medical8 results

  • Image GenerationonSYNTHIA-to-Cityscapes
    MIoU (16 classes)· 2021-11-29
    60.9
    best: 69.3 (DCF)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Semantic SegmentationonDark Zurich
    mIoU· 2021-11-29
    53.8
    best: 63.9 (Refign (HRDA))
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Semantic SegmentationonGTAV-to-Cityscapes Labels
    mIoU· 2021-11-29
    68.3
    best: 75.9 (MIC)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Semantic SegmentationonSYNTHIA-to-Cityscapes
    Mean IoU· 2021-11-29
    60.9
    best: 68.2 (HRDA + PiPa)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Image GenerationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· 2021-11-29
    67.4
    best: 74.8 (HRDA + PiPa)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Image GenerationonGTAV-to-Cityscapes Labels
    mIoU· 2021-11-29
    68.3
    best: 77.7 (DCF)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Image GenerationonGTAV-to-Cityscapes Labels
    mIoU· 2021-11-29
    68.3
    best: 77.7 (DCF)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Image GenerationonSYNTHIA-to-Cityscapes
    MIoU (13 classes)· 2021-11-29
    67.4
    best: 75.9 (DCF)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887

Methodology7 results

  • Domain AdaptationonSYNTHIA-to-Cityscapes
    mIoU· 2021-11-29
    60.9
    best: 78.1 (HALO)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Domain AdaptationonGTA5 to Cityscapes
    mIoU· 2021-11-29
    68.3
    best: 77.8 (HALO)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Domain AdaptationonCityscapes to ACDC
    mIoU· 2021-11-29
    55.4
    best: 78.8 (SoRA)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Domain AdaptationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· 2021-11-29
    67.4
    best: 75.9 (DCF)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Domain AdaptationonGTA-to-Avg(Cityscapes,BDD,Mapillary)
    mIoU· 2023-04-26
    51.73
    best: 4489 (Self-adaptation (ResNet - 101))
    Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationarXiv:2304.13615
  • Domain AdaptationonGTAV-to-Cityscapes Labels
    mIoU· 2021-11-29
    68.3
    best: 75.9 (MIC)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Domain AdaptationonSYNTHIA-to-Cityscapes
    mIoU· 2021-11-29
    60.9
    best: 78.1 (HALO)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887

Computer Vision6 results

  • Image-to-Image TranslationonSYNTHIA-to-Cityscapes
    MIoU (16 classes)· 2021-11-29
    60.9
    best: 69.3 (DCF)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Domain GeneralizationonGTA-to-Avg(Cityscapes,BDD,Mapillary)
    mIoU· 2023-04-26
    51.73
    best: 4489 (Self-adaptation (ResNet - 101))
    Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationarXiv:2304.13615
  • Image-to-Image TranslationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· 2021-11-29
    67.4
    best: 74.8 (HRDA + PiPa)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Image-to-Image TranslationonGTAV-to-Cityscapes Labels
    mIoU· 2021-11-29
    68.3
    best: 77.7 (DCF)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Image-to-Image TranslationonGTAV-to-Cityscapes Labels
    mIoU· 2021-11-29
    68.3
    best: 77.7 (DCF)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Image-to-Image TranslationonSYNTHIA-to-Cityscapes
    MIoU (13 classes)· 2021-11-29
    67.4
    best: 75.9 (DCF)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887

Miscellaneous5 results

  • 1 Image, 2*2 StitchingonSYNTHIA-to-Cityscapes
    MIoU (16 classes)· 2021-11-29
    60.9
    best: 69.3 (DCF)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • 1 Image, 2*2 StitchingonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· 2021-11-29
    67.4
    best: 74.8 (HRDA + PiPa)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • 1 Image, 2*2 StitchingonGTAV-to-Cityscapes Labels
    mIoU· 2021-11-29
    68.3
    best: 77.7 (DCF)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • 1 Image, 2*2 StitchingonGTAV-to-Cityscapes Labels
    mIoU· 2021-11-29
    68.3
    best: 77.7 (DCF)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • 1 Image, 2*2 StitchingonSYNTHIA-to-Cityscapes
    MIoU (13 classes)· 2021-11-29
    67.4
    best: 75.9 (DCF)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887

Other3 results

  • Unsupervised Domain AdaptationonSYNTHIA-to-Cityscapes
    mIoU· 2021-11-29
    60.9
    best: 69.3 (DCF)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Unsupervised Domain AdaptationonSYNTHIA-to-Cityscapes
    mIoU (13 classes)· 2021-11-29
    67.4
    best: 75.9 (DCF)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • Unsupervised Domain AdaptationonGTAV-to-Cityscapes Labels
    mIoU· 2021-11-29
    68.3
    best: 75.9 (MIC)
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887

Audio3 results

  • 10-shot image generationonDark Zurich
    mIoU· 2021-11-29
    53.8
    best: 63.9 (Refign (HRDA))
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • 10-shot image generationonGTAV-to-Cityscapes Labels
    mIoU· 2021-11-29
    68.3
    best: 75.9 (MIC)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887
  • 10-shot image generationonSYNTHIA-to-Cityscapes
    Mean IoU· 2021-11-29
    60.9
    best: 68.2 (HRDA + PiPa)
    SOTA
    DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationarXiv:2111.14887