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Models/HRDA + PiPa

HRDA + PiPa

Reported on 14 benchmarks across 7 tasks · 1 paper · 14 SOTA

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

Medical4 results

Image GenerationonSYNTHIA-to-Cityscapes
mIoU (13 classes)· 2022-11-14
74.8
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609
Image GenerationonGTAV-to-Cityscapes Labels
mIoU· 2022-11-14
75.6
best: 77.7 (DCF)
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609
Semantic SegmentationonGTAV-to-Cityscapes Labels
mIoU· 2022-11-14
75.6
best: 75.9 (MIC)
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609
Semantic SegmentationonSYNTHIA-to-Cityscapes
Mean IoU· 2022-11-14
68.2
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609

Computer Vision2 results

Image-to-Image TranslationonSYNTHIA-to-Cityscapes
mIoU (13 classes)· 2022-11-14
74.8
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609
Image-to-Image TranslationonGTAV-to-Cityscapes Labels
mIoU· 2022-11-14
75.6
best: 77.7 (DCF)
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609

Methodology2 results

Domain AdaptationonGTAV-to-Cityscapes Labels
mIoU· 2022-11-14
75.6
best: 75.9 (MIC)
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609
Domain AdaptationonSYNTHIA-to-Cityscapes
mIoU (13 classes)· 2022-11-14
74.8
best: 75.9 (DCF)
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609

Other2 results

Unsupervised Domain AdaptationonGTAV-to-Cityscapes Labels
mIoU· 2022-11-14
75.6
best: 75.9 (MIC)
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609
Unsupervised Domain AdaptationonSYNTHIA-to-Cityscapes
mIoU (13 classes)· 2022-11-14
74.8
best: 75.9 (DCF)
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609

Audio2 results

10-shot image generationonGTAV-to-Cityscapes Labels
mIoU· 2022-11-14
75.6
best: 75.9 (MIC)
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609
10-shot image generationonSYNTHIA-to-Cityscapes
Mean IoU· 2022-11-14
68.2
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609

Miscellaneous2 results

1 Image, 2*2 StitchingonSYNTHIA-to-Cityscapes
mIoU (13 classes)· 2022-11-14
74.8
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609
1 Image, 2*2 StitchingonGTAV-to-Cityscapes Labels
mIoU· 2022-11-14
75.6
best: 77.7 (DCF)
SOTA
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation arXiv:2211.07609