1 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Breaking the accuracy-resource dilemma: a lightweight adaptive video inference enhancement
Wei Ma, Shaowu Chen, Junjie Ye +2
Existing video inference (VI) enhancement methods typically aim to improve performance by scaling up model sizes and employing sophisticated network architectures. While these appr…
Optimal Brain Connection: Towards Efficient Structural Pruning
Shaowu Chen, Wei Ma, Binhua Huang +5
Structural pruning has been widely studied for its effectiveness in compressing neural networks. However, existing methods often neglect the interconnections among parameters. To a…
WHC: Weighted Hybrid Criterion for Filter Pruning on Convolutional Neural Networks
Shaowu Chen, Weize Sun, Lei Huang
Filter pruning has attracted increasing attention in recent years for its capacity in compressing and accelerating convolutional neural networks. Various data-independent criteria,…
Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression
Shaowu Chen, Jiahao Zhou, Weize Sun +1
Deep convolutional neural networks (CNNs) with a large number of parameters require intensive computational resources, and thus are hard to be deployed in resource-constrained plat…