clcNet： Improving the Efficiency of Convolutional Neural Network using chanel local convolution

其他 2018-08-11 03:32:11 阅读次数: 0

论文核心：

1、提出通道关系依赖图CDG，适合分析CRF

2、提出CRF通道感受野，试图通过分析CRF来达到FCRF进而方便设计卷积块conv block

3、提出交错分组卷积3x3的IGC+1x1的GC 卷积块结构，满足FCRF。

4、设计了clcNet轻量型网络

总结：

clc结构类似于mobilenet v1的dw-pw结构的优化，保证了FCRF且减少了参数量：参数量就是公式2；而V1的参数量为：AM+NL
IGC交错分组卷积怎么实现？分组卷积+通道打乱？
GC卷积可以简单的通过分组卷积实现
可以尝试在基网络中修改

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转载自blog.csdn.net/liu1152239/article/details/81477544

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