RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation

In this paper, we find that the conventional convolution operation becomes the bottleneck for extremely efficient binary neural networks (BNNs). To address this issue, we open up a new direction by introducing a reshaped point-wise convolution (RPC) to replace the conventional one to build BNNs. Spe...

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Vydané v:	IEEE transactions on circuits and systems for video technology Ročník 32; číslo 9; s. 6414 - 6424
Hlavní autori:	Liu, Chunlei, Ding, Wenrui, Chen, Peng, Zhuang, Bohan, Wang, Yufeng, Zhao, Yang, Zhang, Baochang, Han, Yuqi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy balanced activation Binary neural network Complexity Computational efficiency Computing costs Convolution Kernel Neural networks object classification Remote procedure calls reshaped point-wise convolution Spatial data Spatial databases Training
ISSN:	1051-8215, 1558-2205
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