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...

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Bibliografische gegevens
Hoofdauteurs:	Costain, TW, Prisacariu, VA
Formaat:	Conference item
Taal:	English
Gepubliceerd in:	British Machine Vision Association 2022

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