A new AFR module improves HRDA-based UDA semantic segmentation by roughly 1 mIoU using logit-guided attention and uncertainty-driven refinement.
The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes,
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AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation
A new AFR module improves HRDA-based UDA semantic segmentation by roughly 1 mIoU using logit-guided attention and uncertainty-driven refinement.