Accelerating Very Deep Convolutional Networks for Classification and Detection

26 May 2015Xiangyu ZhangJianhua ZouKaiming HeJian Sun

This paper aims to accelerate the test-time computation of convolutional neural networks (CNNs), especially very deep CNNs that have substantially impacted the computer vision community. Unlike previous methods that are designed for approximating linear filters or linear responses, our method takes the nonlinear units into account... (read more)

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