Name
Abstract | ||
|---|---|---|
This article presents a new Self-growing and Pruning Generative Adversarial Network (SP-GAN) for realistic image generation. In contrast to traditional GAN models, our SP-GAN is able to dynamically adjust the size and architecture of a network in the training stage by using the proposed self-growing and pruning mechanisms. To be more specific, we first train two seed networks as the generator and ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2020.3005574 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Gallium nitride,Training,Generative adversarial networks,Generators,Adaptation models,Convolution,Stability analysis | Journal | 32 |
Issue | ISSN | Citations |
6 | 2162-237X | 0 |
PageRank | References | Authors |
0.34 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoning Song | 1 | 11 | 2.54 |
| yao chen | 2 | 24 | 9.82 |
| Zhen-Hua Feng | 3 | 60 | 6.41 |
| Guosheng Hu | 4 | 176 | 16.88 |
| Dongjun Yu | 5 | 80 | 10.53 |
| Xiaojun Wu | 6 | 58 | 11.07 |