Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN

Xiaohan Ding, Tianxiang Hao, Jungong Han +2

The existence of redundancy in Convolutional Neural Networks (CNNs) enables us to remove some filters/channels with acceptable performance drops. However, the training objective of…