PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural
Networks Acceleration

PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration

23 June 2020

Papers citing "PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration"

11 / 11 papers shown

Title
A realistic approach to generate masked faces applied on two novel masked face recognition data sets Tudor Mare Georgian-Emilian Duta Mariana-Iuliana Georgescu A. Sandru B. Alexe Marius Popescu Radu Tudor Ionescu 49 17 0 03 Sep 2021
Focal Self-attention for Local-Global Interactions in Vision Transformers Jianwei Yang Chunyuan Li Pengchuan Zhang Xiyang Dai Bin Xiao Lu Yuan Jianfeng Gao ViT 56 431 0 01 Jul 2021
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis Chaoqi Wang Roger C. Grosse Sanja Fidler Guodong Zhang 45 121 0 15 May 2019
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 118 1,262 0 05 Oct 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 91 2,407 0 22 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 189 2,513 0 19 Jul 2017
Face Detection using Deep Learning: An Improved Faster RCNN Approach Xudong Sun Pengcheng Wu Guosheng Lin FedML CVBM 42 606 0 28 Jan 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 155 3,676 0 31 Aug 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 189 8,793 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 207 6,628 0 08 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 148 18,534 0 06 Feb 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.