We propose to harness the potential of simulation for the semantic segmentation of real-world self-driving scenes in a domain generalization fashion. The segmentation network is trained without any data of target domains and tested on the unseen target domains. please visit https://arxiv.org/abs/1909.00889 for more detail
https://arxiv.org/abs/1909.00889