Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery

Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon. Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery. In 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021. pages 5083-5090, IEEE, 2020. [doi]

@inproceedings{SasakiWB20,
  title = {Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery},
  author = {Hiroshi Sasaki and Chris G. Willcocks and Toby P. Breckon},
  year = {2020},
  doi = {10.1109/ICPR48806.2021.9413023},
  url = {https://doi.org/10.1109/ICPR48806.2021.9413023},
  researchr = {https://researchr.org/publication/SasakiWB20},
  cites = {0},
  citedby = {0},
  pages = {5083-5090},
  booktitle = {25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-8808-9},
}