Name
Abstract | ||
|---|---|---|
Existing deep convolutional neural networks (CNNs) have found major success in image deraining, but at the expense of an enormous number of parameters. This limits their potential applications, e.g., in mobile devices. In this paper, we propose a lightweight pyramid networt (LPNet) for single-image deraining. Instead of designing a complex network structure, we use domain-specific knowledge to sim... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNNLS.2019.2926481 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Rain,Laplace equations,Feature extraction,Learning systems,Task analysis,Knowledge engineering,Computer vision | Journal | 31 |
Issue | ISSN | Citations |
6 | 2162-237X | 18 |
PageRank | References | Authors |
0.59 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xueyang Fu | 1 | 354 | 29.09 |
| Borong Liang | 2 | 30 | 1.08 |
| Yue Huang | 3 | 35 | 6.24 |
| Xinghao Ding | 4 | 591 | 52.95 |
| John Paisley | 5 | 54 | 4.63 |