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Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation

AAAI 2022 · Label-efficient and robust learning › Domain adaptation and generalization · approach: Adaptation for semantic segmentation · 27 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the proposed style-mixing segmentor and patchwise prototypical matchingOne-shot domain adaptation for semantic segmentation · GTA5 → Cityscapes-valmIoU: 36.6 -> 42.8Helped
Use the proposed style-mixing segmentor and patchwise prototypical matchingOne-shot domain adaptation for semantic segmentation · SYNTHIA → Cityscapes-valmIoU: 38.6 -> 47.3Helped
Adapt using the proposed methodCityscapes-trained segmentor · Cityscapes → Dark Zurich-valmIoU: 14.6 -> 17.5Helped
Add the PPM confidence map to the loss (ablation)PPM loss with standard source segmentation model · GTA5 → CityscapesmIoU: 38.38 -> 41.04Helped
Add the PPM confidence map to the loss (ablation)PPM loss with standard source segmentation model · SYNTHIA → CityscapesmIoU: 34.26 -> 43.92Helped
Add entropy weighting E (ablation)PPM loss with standard source segmentation model · GTA5 → CityscapesmIoU: 40.95 -> 41.04No clear effect
Add entropy weighting E (ablation)PPM loss with standard source segmentation model · SYNTHIA → CityscapesmIoU: 44.14 -> 43.92Hurt
Add style mixing at image level and feature level f3 (ablation)DeepLabV2-Res101 with PPM · GTA5 → CityscapesmIoU: 41.04 -> 42.77Helped
Add style mixing at image level and feature level f3 (ablation)DeepLabV2-Res101 with PPM · SYNTHIA → CityscapesmIoU: 43.92 -> 47.33Helped
Use the modified style-mixing operation rather than original AdaIN (ablation)Style-mixing segmentor · GTA5 → CityscapesmIoU: 41.98 -> 42.77Helped
Use the modified style-mixing operation rather than original AdaIN (ablation)Style-mixing segmentor · SYNTHIA → CityscapesmIoU: 46.82 -> 47.33Helped
Set PPM patch size to 32 (ablation)Patchwise prototypical matching · GTA5 → CityscapesmIoU: 42.26 -> 42.77Helped

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