CompUDA: Compositional Unsupervised Domain Adaptation for Semantic Segmentation Under Adverse Conditions
Ziqiang Zhengl,Yingshu Chen,Binh-Son Hua,Sai-Kit Yeung,Ziqiang Zhengl,Yingshu Chen,Binh-Son Hua,Sai-Kit Yeung
In autonomous driving, performing robust semantic segmentation under adverse weather conditions is a long-standing challenge. Imperfect camera observations under adverse conditions result in images with reduced visibility, which hinders label annotation and semantic scene understanding based on these images. A common solution is to adopt semantic segmentation models trained in a source domain with...
