Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach

Yuhua Chen, Wen Li, Xiaoran Chen, Luc Van Gool. Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019. pages 1841-1850, Computer Vision Foundation / IEEE, 2019. [doi]

@inproceedings{ChenLCG19,
  title = {Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach},
  author = {Yuhua Chen and Wen Li and Xiaoran Chen and Luc Van Gool},
  year = {2019},
  url = {http://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Learning_Semantic_Segmentation_From_Synthetic_Data_A_Geometrically_Guided_Input-Output_CVPR_2019_paper.html},
  researchr = {https://researchr.org/publication/ChenLCG19},
  cites = {0},
  citedby = {0},
  pages = {1841-1850},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019},
  publisher = {Computer Vision Foundation / IEEE},
}