Conditional multichannel generative adversarial networks with an application to traffic signs representation learning

Farzin Ghorban, Narges Milani, Daniel Schugk, Lutz Roese-Koerner, Yu Su 0003, Dennis Müller 0002, Anton Kummert. Conditional multichannel generative adversarial networks with an application to traffic signs representation learning. Progress in AI, 8(1):73-82, 2019. [doi]

@article{GhorbanMSRSMK19,
  title = {Conditional multichannel generative adversarial networks with an application to traffic signs representation learning},
  author = {Farzin Ghorban and Narges Milani and Daniel Schugk and Lutz Roese-Koerner and Yu Su 0003 and Dennis Müller 0002 and Anton Kummert},
  year = {2019},
  doi = {10.1007/s13748-018-0149-5},
  url = {https://doi.org/10.1007/s13748-018-0149-5},
  researchr = {https://researchr.org/publication/GhorbanMSRSMK19},
  cites = {0},
  citedby = {0},
  journal = {Progress in AI},
  volume = {8},
  number = {1},
  pages = {73-82},
}