Wei-Lun Chang

All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation

In this paper we tackle the problem of unsupervised domain adaptation for the task of semantic segmentation, where we attempt to transfer the knowledge learned upon synthetic datasets with ground-truth labels to real-world images without any annotation. With the hypothesis that the structural conten…