Extreme Network Compression via Filter Group Approximation

Extreme Network Compression via Filter Group Approximation

30 July 2018

Papers citing "Extreme Network Compression via Filter Group Approximation"

17 / 17 papers shown

Title
Learnable Heterogeneous Convolution: Learning both topology and strength Rongzhen Zhao Zhenzhi Wu Qikun Zhang 17 6 0 13 Jan 2023
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search Zhewen Yu C. Bouganis 8 4 0 22 Aug 2022
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 16 17 0 09 Mar 2022
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning Yanli Liu Bochen Guan Qinwen Xu Weiyi Li Shuxue Quan 17 2 0 21 Oct 2021
Carrying out CNN Channel Pruning in a White Box Yu-xin Zhang Mingbao Lin Chia-Wen Lin Jie Chen Feiyue Huang Yongjian Wu Yonghong Tian R. Ji VLM 31 58 0 24 Apr 2021
Lottery Jackpots Exist in Pre-trained Models Yu-xin Zhang Mingbao Lin Yan Wang Fei Chao Rongrong Ji 30 15 0 18 Apr 2021
Self-grouping Convolutional Neural Networks Qingbei Guo Xiaojun Wu J. Kittler Zhiquan Feng 17 22 0 29 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 17 69 0 02 Sep 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 22 72 0 24 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 22 27 0 13 Jul 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 24 56 0 01 Jan 2020
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 9 269 0 23 Aug 2019
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 39 957 0 23 Jul 2019
Weight Normalization based Quantization for Deep Neural Network Compression Wenhong Cai Wu-Jun Li 16 14 0 01 Jul 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks Jiashi Li Q. Qi Jingyu Wang Ce Ge Yujian Betterest Li Zhangzhang Yue Haifeng Sun BDL CML 11 53 0 28 May 2019
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 16 122 0 10 Sep 2018
Filter Distillation for Network Compression Xavier Suau Luca Zappella N. Apostoloff 13 38 0 20 Jul 2018