7 nov 2014 anni - Speeding up convolutional neural networks with low rank expansions. (BMVC 2014)

Descrizione:

Two-component Decomposition

This is achieved by exploiting cross-channel or filter redundancy to construct a low rank basis of filters that are rank-1 in the spatial domain.


结果：
在场景文本字符识别设计的真实世界网络中，在准确率没有损失的情况下，可能获得2.5倍的加速比，在准确率下降不到1%的情况下，可能达到4.5倍的加速比，在标准基准测试中仍然达到了最先进的水平。

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