14 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 2 cited
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
Xiangcheng Liu, Jian Cao, Hongyi Yao +2
Channel pruning is one of the major compression approaches for deep neural networks. While previous pruning methods have mostly focused on identifying unimportant channels, channel…
cs.CV2020
An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution
Wenyu Sun, Jian Cao, Pengtao Xu +2
We propose an efficient once-for-all budgeted pruning framework (OFARPruning) to find many compact network structures close to winner tickets in the early training stage considerin…
cs.CV2020★ 14 cited
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks
Pengtao Xu, Jian Cao, Fanhua Shang +2
In order to deploy deep convolutional neural networks (CNNs) on resource-limited devices, many model pruning methods for filters and weights have been developed, while only a few t…