Classes Matter: A Fine-Grained Adversarial Approach to Cross-Domain Semantic Segmentation

Haoran Wang, Tong Shen, Wei Zhang, Ling-Yu Duan, Tao Mei 0001. Classes Matter: A Fine-Grained Adversarial Approach to Cross-Domain Semantic Segmentation. In Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm, editors, Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIV. Volume 12359 of Lecture Notes in Computer Science, pages 642-659, Springer, 2020. [doi]

@inproceedings{WangSZD020,
  title = {Classes Matter: A Fine-Grained Adversarial Approach to Cross-Domain Semantic Segmentation},
  author = {Haoran Wang and Tong Shen and Wei Zhang and Ling-Yu Duan and Tao Mei 0001},
  year = {2020},
  doi = {10.1007/978-3-030-58568-6_38},
  url = {https://doi.org/10.1007/978-3-030-58568-6_38},
  researchr = {https://researchr.org/publication/WangSZD020},
  cites = {0},
  citedby = {0},
  pages = {642-659},
  booktitle = {Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIV},
  editor = {Andrea Vedaldi and Horst Bischof and Thomas Brox and Jan-Michael Frahm},
  volume = {12359},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-58568-6},
}