BriefGPT.xyz
Sep, 2021
序数池化
Ordinal Pooling
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Adrien Deliège, Maxime Istasse, Ashwani Kumar, Christophe De Vleeschouwer, Marc Van Droogenbroeck
TL;DR
本文提出了一种新的池化方案:有序池化,其通过使用不同的权重对池化区域的元素进行加权平均以计算池化操作,从而达到了加速训练和提高准确性等优点。
Abstract
In the framework of
convolutional neural networks
, downsampling is often performed with an
average-pooling
, where all the activations are treated equally, or with a
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