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23 ago 2019 ano - Zi Wang: Towards Efficient Convolutional Neural Networks Through Low-Error Filter Saliency Estimation, PRICAI, 2019

Descrição:

基于滤波显著性的信道修剪是一种最先进的深卷积神经网络压缩和加速方法。本文提出了一个系统的通道修剪方法，显著降低了滤波器显著性的估计误差。与现有的方法不同，我们的方法在预训练过程中引入了交替方向乘法器（ADMM），大大降低了网络中参数的大小.

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30 ago 2019

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23 ago 2019 ano

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