Searching for Winograd-aware Quantized Networks

25 Feb 2020Javier Fernandez-MarquesPaul N. WhatmoughAndrew MundyMatthew Mattina

Lightweight architectural designs of Convolutional Neural Networks (CNNs) together with quantization have paved the way for the deployment of demanding computer vision applications on mobile devices. Parallel to this, alternative formulations to the convolution operation such as FFT, Strassen and Winograd, have been adapted for use in CNNs offering further speedups... (read more)

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