Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications

24 Mar 2018Zheng QinZhaoning ZhangShiqing ZhangHao YuYuxing Peng

Compact neural networks are inclined to exploit "sparsely-connected" convolutions such as depthwise convolution and group convolution for employment in mobile applications. Compared with standard "fully-connected" convolutions, these convolutions are more computationally economical... (read more)

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