35 citations · 115 across the 17 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 8 cited
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang, Qiming Zhang, Yuehai Wang +1
Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance loss. Despite its effectiveness,…
cs.LG2018★ 2 cited
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method
Yuxin Zhang, Huan Wang, Yang Luo +4
Despite enjoying extensive applications in video analysis, three-dimensional convolutional neural networks (3D CNNs)are restricted by their massive computation and storage consumpt…
cs.LG2018★ 4 cited
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang, Qiming Zhang, Yuehai Wang +2
Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance degrade. Despite its effectivene…