A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression

Nicoló Savioli. A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019. Computer Vision Foundation / IEEE, 2019. [doi]

@inproceedings{Savioli19,
  title = {A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression},
  author = {Nicoló Savioli},
  year = {2019},
  url = {http://openaccess.thecvf.com/content_CVPRW_2019/html/CLIC_2019/Savioli_A_Hybrid_Approach_Between_Adversarial_Generative_Networks_and_Actor-Critic_Policy_CVPRW_2019_paper.html},
  researchr = {https://researchr.org/publication/Savioli19},
  cites = {0},
  citedby = {0},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019},
  publisher = {Computer Vision Foundation / IEEE},
}