Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen...
TL;DR本文提出一种动态组卷积 (Dynamic Group Convolution, DGC) 方法,它不仅保留了原有网络结构,还能够根据输入图像动态选择连接哪些输入通道,以实现对图像语义特征的自适应提取,有效提高了卷积神经网络的计算效率和图像分类性能。
Abstract
Replacing normal convolutions with group convolutions can significantly increase the computational efficiency of modern deep convolution networks, which has been widely adopted in compact network architecture des