@inproceedings{6a6dc38e3a004589878d1d6072d1c5d2,
title = "Dual Path Binary Neural Network",
abstract = "Binary neural networks can effectively reduce the number of required parameters but might decrease the classification accuracy. To solve the problem, we propose a dual-path binary neural network (DPBNN) in this paper. Experimental results show that our DPBNN can outperform other traditional binary neural network in CIFAR-10 and SVHN dataset. The proposed network is simple, so it is suitable to be implemented on embedded systems or SoC designs.",
author = "Chen, {Pei Yin} and Tang, {Chi Huan} and Chen, {Wei Ting} and Yu, {Hui Liang}",
year = "2019",
month = oct,
doi = "10.1109/ISOCC47750.2019.9027649",
language = "English",
series = "Proceedings - 2019 International SoC Design Conference, ISOCC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "251--252",
booktitle = "Proceedings - 2019 International SoC Design Conference, ISOCC 2019",
address = "United States",
note = "16th International System-on-Chip Design Conference, ISOCC 2019 ; Conference date: 06-10-2019 Through 09-10-2019",
}