Dynamic Group Convolution for Accelerating Convolutional Neural Networks

8 Jul 2020Zhuo SuLinpu FangWenxiong KangDewen HuMatti PietikäinenLi Liu

Replacing normal convolutions with group convolutions can significantly increase the computational efficiency of modern deep convolutional networks, which has been widely adopted in compact network architecture designs. However, existing group convolutions undermine the original network structures by cutting off some connections permanently resulting in significant accuracy degradation... (read more)

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