Comb Convolution for Efficient Convolutional Architecture

1 Nov 2019Dandan LiYuan ZhouShuwei HuoSun-Yuan Kung

Convolutional neural networks (CNNs) are inherently suffering from massively redundant computation (FLOPs) due to the dense connection pattern between feature maps and convolution kernels. Recent research has investigated the sparse relationship between channels, however, they ignored the spatial relationship within a channel... (read more)

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