MetalGAN: A Cluster-Based Adaptive Training for Few-Shot Adversarial Colorization

Tomaso Fontanini, Eleonora Iotti, Andrea Prati 0001. MetalGAN: A Cluster-Based Adaptive Training for Few-Shot Adversarial Colorization. In Elisa Ricci 0001, Samuel Rota Bulò, Cees Snoek, Oswald Lanz, Stefano Messelodi, Nicu Sebe, editors, Image Analysis and Processing - ICIAP 2019 - 20th International Conference, Trento, Italy, September 9-13, 2019, Proceedings, Part I. Volume 11751 of Lecture Notes in Computer Science, pages 280-291, Springer, 2019. [doi]

@inproceedings{FontaniniIP19,
  title = {MetalGAN: A Cluster-Based Adaptive Training for Few-Shot Adversarial Colorization},
  author = {Tomaso Fontanini and Eleonora Iotti and Andrea Prati 0001},
  year = {2019},
  doi = {10.1007/978-3-030-30642-7_25},
  url = {https://doi.org/10.1007/978-3-030-30642-7_25},
  researchr = {https://researchr.org/publication/FontaniniIP19},
  cites = {0},
  citedby = {0},
  pages = {280-291},
  booktitle = {Image Analysis and Processing - ICIAP 2019 - 20th International Conference, Trento, Italy, September 9-13, 2019, Proceedings, Part I},
  editor = {Elisa Ricci 0001 and Samuel Rota Bulò and Cees Snoek and Oswald Lanz and Stefano Messelodi and Nicu Sebe},
  volume = {11751},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-30642-7},
}