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Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 7006-7019
作者:  Liu, Chang;  Zhang, Xishan;  Zhang, Rui;  Li, Ling;  Zhou, Shiyi;  Huang, Di;  Li, Zhen;  Du, Zidong;  Liu, Shaoli;  Chen, Tianshi
收藏  |  浏览/下载:13/0  |  提交时间:2023/07/12
Neural network acceleration  low precision training  quantization  
A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 21
作者:  Huang, Di;  Zhang, Rui;  Zhang, Xishan;  Wu, Fan;  Wang, Xianzhuo;  Jin, Pengwei;  Liu, Shaoli;  Li, Ling;  Chen, Yunji
收藏  |  浏览/下载:35/0  |  提交时间:2021/12/01
Convolution neural networks  Model acceleration  Winograd algorithm  Video analysis