2020
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
CVPR 2020poster
Since annotating pixel-level labels for semantic segmentation is laborious, leveraging synthetic data is an attractive solution. However, due to the domain gap between synthetic domain and real domain, it is challenging for a model trained with synthetic data to generalize to real data. In this pape…