All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation

1 code implementation • CVPR 2019 • Wei-Lun Chang, Hui-Po Wang, Wen-Hsiao Peng, Wei-Chen Chiu

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.

Segmentation Semantic Segmentation +3