2019
SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation
ICCV 2019poster
Despite the great success achieved by supervised fully convolutional models in semantic segmentation, training the models requires a large amount of labor-intensive work to generate pixel-level annotations. Recent works exploit synthetic data to train the model for semantic segmentation, but the dom…