Exploring CycleGAN for Bias Reduction in Gender Classification: Generative Modelling for Diversifying Data Augmentation

Dimitri Hooftman, Seyed Sahand Mohammadi Ziabari, Joop Snijder. Exploring CycleGAN for Bias Reduction in Gender Classification: Generative Modelling for Diversifying Data Augmentation. In Huimin Lu 0001, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya, editors, Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part III. Volume 14408 of Lecture Notes in Computer Science, pages 26-40, Springer, 2023. [doi]

@inproceedings{HooftmanZS23,
  title = {Exploring CycleGAN for Bias Reduction in Gender Classification: Generative Modelling for Diversifying Data Augmentation},
  author = {Dimitri Hooftman and Seyed Sahand Mohammadi Ziabari and Joop Snijder},
  year = {2023},
  doi = {10.1007/978-3-031-47665-5_3},
  url = {https://doi.org/10.1007/978-3-031-47665-5_3},
  researchr = {https://researchr.org/publication/HooftmanZS23},
  cites = {0},
  citedby = {0},
  pages = {26-40},
  booktitle = {Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part III},
  editor = {Huimin Lu 0001 and Michael Blumenstein and Sung-Bae Cho and Cheng-Lin Liu and Yasushi Yagi and Tohru Kamiya},
  volume = {14408},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-47665-5},
}