FeatDANet: Feature-level Domain Adaptation Network for Semantic Segmentation
Jiao Li,Wenjun Shi,Dongchen Zhu,Guanghui Zhang,Xiaolin Zhang,Jiamao Li,Jiao Li,Wenjun Shi,Dongchen Zhu,Guanghui Zhang,Xiaolin Zhang,Jiamao Li
Unsupervised domain adaptation (UDA) is proposed to better adapt the network trained on labeled synthetic data to unlabeled real-world data for addressing the annotation cost. However, most of these methods pay more attention to domain distributions in input and output stages while ignoring the important differences in semantic expressions and local details in middle feature stages. Therefore, a n...
