13 citations · 22 across the 7 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.CV2020★ 1 cited
Channel Pruning via Multi-Criteria based on Weight Dependency
Yangchun Yan, Rongzuo Guo, Chao Li +2
Channel pruning has demonstrated its effectiveness in compressing ConvNets. In many related arts, the importance of an output feature map is only determined by its associated filte…
cs.CV2020★ 3 cited
PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration
Jianrong Xu, Boyu Diao, Bifeng Cui +3
Deep learning has achieved impressive results in many areas, but the deployment of edge intelligent devices is still very slow. To solve this problem, we propose a novel compressio…