Name
Abstract | ||
|---|---|---|
•It is for the first time the pure binarized convolutional layers are incorporated into Gabor CNNs.•HGCNs can reduce the size of required storage space of any given convolutional filters by a factor of 32.•HGCNs can achieve the comparable performance to the full-precision model. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patrec.2018.10.014 | Pattern Recognition Letters |
Keywords | Field | DocType |
Hybrid Gabor Convolutional Networks,Convolutional neural network,Binary networks,Deep learning | Architecture,Software deployment,Pattern recognition,Convolutional neural network,Convolution,Source code,Artificial intelligence,Deep learning,Residual neural network,Computer engineering,Mathematics | Journal |
Volume | ISSN | Citations |
116 | 0167-8655 | 0 |
PageRank | References | Authors |
0.34 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chunlei Liu | 1 | 7 | 4.82 |
| Wenrui Ding | 2 | 42 | 9.83 |
| Xiaodi Wang | 3 | 9 | 4.21 |
| Baochang Zhang | 4 | 1130 | 93.76 |