32 citations · 46 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 3 cited
Training convolutional neural networks with cheap convolutions and online distillation
Jiao Xie, Shaohui Lin, Yichen Zhang +1
The large memory and computation consumption in convolutional neural networks (CNNs) has been one of the main barriers for deploying them on resource-limited systems. To this end,…
cs.CV2019★ 32 cited
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Shaohui Lin, Rongrong Ji, Chenqian Yan +5
Structured pruning of filters or neurons has received increased focus for compressing convolutional neural networks. Most existing methods rely on multi-stage optimizations in a la…
cs.CV2019★ 11 cited
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
Shaohui Lin, Rongrong Ji, Yuchao Li +2
The success of convolutional neural networks (CNNs) in computer vision applications has been accompanied by a significant increase of computation and memory costs, which prohibits…