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This paper shows how to train binary networks to within a few percent points ($\sim 3-5 \%$) of the full precision counterpart.
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Circulant binary convolutional networks: Enhancing the performance of 1-bit dcnns with circulant back propagation
Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, and David Doermann · 2019
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Jie Hu, Li Shen, and Gang Sun · 2018
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Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, and Ian D. Reid · 2018
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Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, and Qi Tian · 2019
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Accurate and compact convolutional neural networks with trained binarization
Zhe Xu and Ray C.C. Cheung · 2019
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dabnn: A super fast inference framework for binary neural networks on ARM devices
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Binary ensemble neural network: More bits per network or more networks per bit?
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Structured binary neural networks for accurate image classification and semantic segmentation
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