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...
| Huvudupphovsmän: | , |
|---|---|
| Materialtyp: | Conference item |
| Språk: | English |
| Publicerad: |
British Machine Vision Association
2022
|