Name
Title | ||
|---|---|---|
Learning Competitive Channel-Wise Attention in Residual Network with Masked Regularization and Signal Boosting |
Abstract | ||
|---|---|---|
•Some strategies are proposed to jointly model the relationship of residual and identity channels.•A masked regularization and a signal boosting method are proposed to improve diversity of features.•These methods can be cheaply applied to residual networks. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.eswa.2020.113591 | Expert Systems with Applications |
Keywords | DocType | Volume |
Residual networks,Competitive channel-wise attention,Masked regularization,Signal boosting | Journal | 160 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingnan Luo | 1 | 0 | 0.34 |
| Guihua Wen | 2 | 16 | 8.69 |
| Yang Hu | 3 | 7 | 4.17 |
| Dan Dai | 4 | 3 | 3.40 |
| Jiajiong Ma | 5 | 0 | 0.34 |