Network Decoupling: From Regular to Depthwise Separable Convolutions

16 Aug 2018Jianbo GuoYuxi LiWeiyao LinYurong ChenJianguo Li

Depthwise separable convolution has shown great efficiency in network design, but requires time-consuming training procedure with full training-set available. This paper first analyzes the mathematical relationship between regular convolutions and depthwise separable convolutions, and proves that the former one could be approximated with the latter one in closed form... (read more)

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