Načítá se...
AresB-Net: accurate residual binarized neural networks using shortcut concatenation and shuffled grouped convolution
This article proposes a novel network model to achieve better accurate residual binarized convolutional neural networks (CNNs), denoted as AresB-Net. Even though residual CNNs enhance the classification accuracy of binarized neural networks with increasing feature resolution, the degraded classifica...
Uloženo v:
| Vydáno v: | PeerJ Comput Sci |
|---|---|
| Hlavní autor: | |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
PeerJ Inc.
2021
|
| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8022573/ https://ncbi.nlm.nih.gov/pubmed/33834112 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.454 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|