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Apr, 2019
LP-3DCNN:揭示3D卷积神经网络中的局部相位
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks
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Sudhakar Kumawat, Shanmuganathan Raman
TL;DR
该论文提出基于局部相位提取方法的3D卷积神经网络模型,相对于传统模型具有更高的特征学习能力、参数节省和更高的精度。
Abstract
Traditional
3d convolutional neural networks
(CNNs) are computationally expensive, memory intensive, prone to overfit, and most importantly, there is a need to improve their
feature learning capabilities
. To addr
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