Bidirectional Learning for Domain Adaptation of Semantic Segmentation

CVPR 2019 Yunsheng LiLu YuanNuno Vasconcelos

Domain adaptation for semantic image segmentation is very necessary since manually labeling large datasets with pixel-level labels is expensive and time consuming. Existing domain adaptation techniques either work on limited datasets, or yield not so good performance compared with supervised learning... (read more)

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