Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation

Inseop Chung, DaeSik Kim, Nojun Kwak. Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022. pages 1979-1988, IEEE, 2022. [doi]

@inproceedings{ChungKK22-0,
  title = {Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation},
  author = {Inseop Chung and DaeSik Kim and Nojun Kwak},
  year = {2022},
  doi = {10.1109/WACV51458.2022.00204},
  url = {https://doi.org/10.1109/WACV51458.2022.00204},
  researchr = {https://researchr.org/publication/ChungKK22-0},
  cites = {0},
  citedby = {0},
  pages = {1979-1988},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-0915-5},
}