Approximating continuous convolutions for deep network compression
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...
| Główni autorzy: | , |
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| Format: | Conference item |
| Język: | English |
| Wydane: |
British Machine Vision Association
2022
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