Learning Filter Basis for Convolutional Neural Network Compression

Learning Filter Basis for Convolutional Neural Network Compression

23 August 2019

Luc Van Gool

Radu Timofte

Papers citing "Learning Filter Basis for Convolutional Neural Network Compression"

18 / 18 papers shown

Title
Large Convolutional Model Tuning via Filter Subspace Wei Chen Zichen Miao Qiang Qiu 51 3 0 01 Mar 2024
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks Jue Chen Huan Yuan Jianchao Tan Bin Chen Chengru Song Di Zhang 25 3 0 09 Aug 2023
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report Andrey D. Ignatov Radu Timofte Maurizio Denna Abdelbadie Younes Ganzorig Gankhuyag ... Jing Liu Garas Gendy Nabil Sabor J. Hou Guanghui He SupR MQ 18 31 0 07 Nov 2022
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report Andrey D. Ignatov Grigory Malivenko Radu Timofte Lukasz Treszczotko Xin-ke Chang ... Dongwon Park Seongmin Hong Joonhee Lee Seunggyu Lee Sengsub Chun 21 17 0 07 Nov 2022
Pruning by Active Attention Manipulation Z. Babaiee Lucas Liebenwein Ramin Hasani Daniela Rus Radu Grosu 17 0 0 20 Oct 2022
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search Zhewen Yu C. Bouganis 22 4 0 22 Aug 2022
Blueprint Separable Residual Network for Efficient Image Super-Resolution Zheyu Li Yingqi Liu Xiangyu Chen Haoming Cai Jinjin Gu Yu Qiao Chao Dong 27 131 0 12 May 2022
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 21 81 0 11 May 2022
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li K. Zhang Radu Timofte Luc Van Gool F. Kong ... Deng-Guang Zhou Kun Zeng Han-Yuan Lin Xinyu Chen Jin-Tao Fang SupR 36 77 0 11 May 2022
Blending Anti-Aliasing into Vision Transformer Shengju Qian Hao Shao Yi Zhu Mu Li Jiaya Jia 21 20 0 28 Oct 2021
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog J. C. V. Gemert SupR SSL 22 37 0 07 Jun 2021
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report Andrey D. Ignatov Grigory Malivenko Radu Timofte Sheng Chen Xin Xia ... K. Lyda L. Khojoyan Abhishek Thanki Sayak Paul Shahid Siddiqui MQ 15 20 0 17 May 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning Seul-Ki Yeom Kyung-Hwan Shim Jee-Hyun Hwang CVBM 25 12 0 19 Mar 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy Lucas Liebenwein Cenk Baykal Brandon Carter David K Gifford Daniela Rus AAML 27 71 0 04 Mar 2021
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 27 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 31 27 0 13 Jul 2020
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 313 1,047 0 10 Feb 2017