IEEE Access · 2020 · Journal article

Memory Protection Generative Adversarial Network (MPGAN): A Framework to Overcome the Forgetting of GANs Using Parameter Regularization Methods

Yifan Chang, Wenbo Li, Jian Peng, Haifeng Li, Yu Kang, Yingliang Huang

University of Science and Technology of China · Hefei Institute of Technology Innovation · Central South University · Chinese Academy of Sciences · Institute of Intelligent Machines

Date
2020-01-01
Citations
3
Cite
@article{chang2020memory,
  title = {Memory Protection Generative Adversarial Network (MPGAN): A Framework to Overcome the Forgetting of GANs Using Parameter Regularization Methods},
  author = {Yifan Chang and Wenbo Li and Jian Peng and Haifeng Li and Yu Kang and Yingliang Huang},
  year = {2020},
  journal = {IEEE Access},
  doi = {10.1109/ACCESS.2020.3028067},
  url = {https://doi.org/10.1109/ACCESS.2020.3028067},
}