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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...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022573/ https://www.ncbi.nlm.nih.gov/pubmed/33834112 http://dx.doi.org/10.7717/peerj-cs.454 |