Approximating continuous convolutions for deep network compression

Approximating continuous convolutions for deep network compression

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We present ApproxConv, a novel method for compressing the layers of a convolutional neural network. Reframing conventional discrete convolution as continuous convolution of parametrised functions over space, we use functional approximations to capture the essential structures of CNN filters with few...

书目详细资料
Main Authors:	Costain, TW, Prisacariu, VA
格式:	Conference item
语言:	English
出版:	British Machine Vision Association 2022

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