BitFlow-Net: Toward Fully Binarized Convolutional Neural Networks

BitFlow-Net: Toward Fully Binarized Convolutional Neural Networks

Binarization can greatly compress and accelerate deep convolutional neural networks (CNNs) for real-time industrial applications. However, existing binarized CNNs (BCNNs) rely on scaling factor (SF) and batch normalization (BatchNorm) that still involve resource-consuming floating-point multiplicati...

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Bibliographic Details
Main Authors: Lijun Wu, Peiqing Jiang, Zhicong Chen, Xu Lin, Yunfeng Lai, Peijie Lin, Shuying Cheng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Binarized convolutional neural networks
model acceleration and compression
BatchShift
Online Access:https://ieeexplore.ieee.org/document/8856200/

Internet

https://ieeexplore.ieee.org/document/8856200/

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