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...

書誌詳細
主要な著者:	Costain, TW, Prisacariu, VA
フォーマット:	Conference item
言語:	English
出版事項:	British Machine Vision Association 2022

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