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Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation

NeurIPS 2022 · Label-efficient and robust learning › Domain adaptation and generalization · approach: Domain-generalized segmentation · 36 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add AdvStyle adversarial style augmentationDeepLabV3+ ResNet-50 baseline · GTAV to real meanmIoU: 27.42 -> 37.39Helped
add AdvStyleIBN-Net ResNet-101 · GTAV to real meanmIoU: 36.13 -> 42.22Helped
add AdvStyleISW ResNet-101 · SYNTHIA to real meanmIoU: 28.51 -> 33.65Helped
learn adversarial style instead of pixel-wise adversarial perturbation (AdvPixel) (ablation)AdvStyle · GTAV to CityScapes/BDD/Mapillary mean, ResNet-50mIoU: 33.97 -> 37.39Helped
replace random style noise with adversarial style learning (ablation)AdvStyle · GTAV to CityScapes/BDD/Mapillary mean, ResNet-50mIoU: 33.07 -> 37.39Helped
replace MixStyle or CrossStyle with adversarial style (ablation)AdvStyle · GTAV to CityScapes/BDD/Mapillary mean, ResNet-50mIoU: 34.60 -> 37.39Helped
add color jittering and Gaussian blur to AdvStyle (ablation)AdvStyle · GTAV to CityScapes/BDD/Mapillary mean, ResNet-50mIoU: 35.32 -> 37.39Helped
add AdvPixel to AdvStyle (ablation)AdvStyle · GTAV to CityScapes/BDD/Mapillary mean, ResNet-50mIoU: 37.39 -> 38.20Helped
inject AdvStyle at image level instead of deep layers (ablation)AdvStyle · GTAV to CityScapes/BDD/Mapillary mean, ResNet-50mIoU: 27.44 -> 37.39Helped
use per-patch style features instead of whole-image style (ablation)AdvStyle · GTAV to CityScapes/BDD/Mapillary mean, ResNet-50mIoU: 37.39 -> 37.76No clear effect
use RGB instead of LAB color space for AdvStyle (ablation)AdvStyle · GTAV to CityScapes/BDD/Mapillary mean, ResNet-50mIoU: 35.70 -> 37.39Helped
add AdvStyle to ERMERM ResNet18 · PACS averageaccuracy: 58.9 -> 65.4Helped

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