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Models/CAMix (w Deeplabv2 ResNet 101)

CAMix (w Deeplabv2 ResNet 101)

Reported on 8 benchmarks across 5 tasks · 1 paper

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)· 2021-08-08
59.7
best: 74.8 (HRDA + PiPa)
Context-Aware Mixup for Domain Adaptive Semantic Segmentation arXiv:2108.03557
Image-to-Image TranslationonGTAV-to-Cityscapes Labels
mIoU· 2021-08-08
55.2
best: 77.7 (DCF)
Context-Aware Mixup for Domain Adaptive Semantic Segmentation arXiv:2108.03557

Medical2 results

Image GenerationonSYNTHIA-to-Cityscapes
mIoU (13 classes)· 2021-08-08
59.7
best: 74.8 (HRDA + PiPa)
Context-Aware Mixup for Domain Adaptive Semantic Segmentation arXiv:2108.03557
Image GenerationonGTAV-to-Cityscapes Labels
mIoU· 2021-08-08
55.2
best: 77.7 (DCF)
Context-Aware Mixup for Domain Adaptive Semantic Segmentation arXiv:2108.03557

Miscellaneous2 results

1 Image, 2*2 StitchingonSYNTHIA-to-Cityscapes
mIoU (13 classes)· 2021-08-08
59.7
best: 74.8 (HRDA + PiPa)
Context-Aware Mixup for Domain Adaptive Semantic Segmentation arXiv:2108.03557
1 Image, 2*2 StitchingonGTAV-to-Cityscapes Labels
mIoU· 2021-08-08
55.2
best: 77.7 (DCF)
Context-Aware Mixup for Domain Adaptive Semantic Segmentation arXiv:2108.03557

Methodology1 result

Domain AdaptationonGTAV-to-Cityscapes Labels
mIoU· 2021-08-08
55.2
best: 75.9 (MIC)
Context-Aware Mixup for Domain Adaptive Semantic Segmentation arXiv:2108.03557

Other1 result

Unsupervised Domain AdaptationonGTAV-to-Cityscapes Labels
mIoU· 2021-08-08
55.2
best: 75.9 (MIC)
Context-Aware Mixup for Domain Adaptive Semantic Segmentation arXiv:2108.03557