Search Results for author: Wenyu Sun

Found 6 papers, 1 papers with code

AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance

no code implementations14 Sep 2021 Xiangcheng Liu, Jian Cao, Hongyi Yao, Wenyu Sun, Yuan Zhang

While previous pruning methods have mostly focused on identifying unimportant channels, channel pruning is considered as a special case of neural architecture search in recent years.

Image Classification Neural Architecture Search

An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution

no code implementations2 Dec 2020 Wenyu Sun, Jian Cao, Pengtao Xu, Xiangcheng Liu, Pu Li

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 considering the effect of input resolution during the pruning process.

Image Classification object-detection +1

Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks

no code implementations29 Nov 2020 Pengtao Xu, Jian Cao, Fanhua Shang, Wenyu Sun, Pu Li

For layer pruning, we convert convolutional layers of network into ResConv with a layer scaling factor.

Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs

no code implementations21 Oct 2020 Chen Tang, Wenyu Sun, Zhuqing Yuan, Yongpan Liu

To accelerate deep CNN models, this paper proposes a novel spatially adaptive framework that can dynamically generate pixel-wise sparsity according to the input image.

General Classification Image Classification +4

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