Using Synthesized Data to Train Deep Neural Net with Few Data

Cheng-Shao Chiang, Chi-Sheng Daniel Shih. Using Synthesized Data to Train Deep Neural Net with Few Data. In Tomás Cerný, Juw Won Park, editors, RACS '20: International Conference on Research in Adaptive and Convergent Systems, Gwangju, Korea, October 13-16, 2020. pages 19-25, ACM, 2020. [doi]

@inproceedings{ChiangS20,
  title = {Using Synthesized Data to Train Deep Neural Net with Few Data},
  author = {Cheng-Shao Chiang and Chi-Sheng Daniel Shih},
  year = {2020},
  doi = {10.1145/3400286.3418244},
  url = {https://doi.org/10.1145/3400286.3418244},
  researchr = {https://researchr.org/publication/ChiangS20},
  cites = {0},
  citedby = {0},
  pages = {19-25},
  booktitle = {RACS '20: International Conference on Research in Adaptive and Convergent Systems, Gwangju, Korea, October 13-16, 2020},
  editor = {Tomás Cerný and Juw Won Park},
  publisher = {ACM},
  isbn = {978-1-4503-8025-6},
}