VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation

Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko. VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. In 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2018, Salt Lake City, UT, USA, June 18-22, 2018. pages 2021-2026, IEEE Computer Society, 2018. [doi]

@inproceedings{PengUKWHS18,
  title = {VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation},
  author = {Xingchao Peng and Ben Usman and Neela Kaushik and Dequan Wang and Judy Hoffman and Kate Saenko},
  year = {2018},
  url = {http://openaccess.thecvf.com/content_cvpr_2018_workshops/w40/html/Peng_VisDA_A_Synthetic-to-Real_CVPR_2018_paper.html},
  researchr = {https://researchr.org/publication/PengUKWHS18},
  cites = {0},
  citedby = {0},
  pages = {2021-2026},
  booktitle = {2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2018, Salt Lake City, UT, USA, June 18-22, 2018},
  publisher = {IEEE Computer Society},
}