Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression

19 March 2020

Yawei Li

Shuhang Gu

Christoph Mayer

Luc Van Gool

Radu Timofte

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Papers citing "Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression"

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Title
Q-VLM: Post-training Quantization for Large Vision-Language Models Changyuan Wang Ziwei Wang Xiuwei Xu Yansong Tang Jie Zhou Jiwen Lu MQ 32 1 0 10 Oct 2024
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning Tianyi Chen Xiaoyi Qu David Aponte Colby R. Banbury Jongwoo Ko Tianyu Ding Yong Ma Vladimir Lyapunov Ilya Zharkov Luming Liang 80 1 0 11 Sep 2024
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition Xitong Zhang Ismail R. Alkhouri Rongrong Wang 38 0 0 06 May 2024
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation H. Ateş S. Yildirim B. Gunturk SupR 28 16 0 25 Apr 2024
The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling Lihui Xue Zhihao Wang Xueqian Wang Gang Li 35 1 0 16 Oct 2023
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning Shangli Zhou Mikhail A. Bragin Lynn Pepin Deniz Gurevin Fei Miao Caiwen Ding 16 3 0 08 Apr 2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions Kaiqi Zhao Animesh Jain Ming Zhao 21 9 0 14 Mar 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training Xiaoying Zhi Varun Babbar P. Sun Fran Silavong Ruibo Shi Sean J. Moran Sean Moran 39 1 0 17 Feb 2023
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm Aidan Good Jia-Huei Lin Hannah Sieg Mikey Ferguson Xin Yu Shandian Zhe J. Wieczorek Thiago Serra 29 11 0 07 Jun 2022
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 24 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
Compact Model Training by Low-Rank Projection with Energy Transfer K. Guo Zhenquan Lin Xiaofen Xing Fang Liu Xiangmin Xu 22 2 0 12 Apr 2022
Pruning-aware Sparse Regularization for Network Pruning Nanfei Jiang Xu Zhao Chaoyang Zhao Yongqi An Ming Tang Jinqiao Wang 3DPC 24 12 0 18 Jan 2022
Batch Normalization Tells You Which Filter is Important Junghun Oh Heewon Kim Sungyong Baik Chee Hong Kyoung Mu Lee CVBM 24 8 0 02 Dec 2021
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning Mengnan Shi Chang-rui Liu Jianbin Jiao QiXiang Ye 21 1 0 29 Nov 2021
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy Thibault Castells Seul-Ki Yeom 3DV 18 3 0 18 Nov 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 27 128 0 26 Oct 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations Roy Miles K. Mikolajczyk 24 0 0 25 Oct 2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion Mingbao Lin Bohong Chen Fei Chao Rongrong Ji VLM 25 23 0 14 Jul 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning Seul-Ki Yeom Kyung-Hwan Shim Jee-Hyun Hwang CVBM 28 12 0 19 Mar 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 130 673 0 24 Jan 2021
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry He Chen Pengfei Guo Pengfei Li Gim Hee Lee Gregory S. Chirikjian 3DH 28 39 0 21 Jul 2020
Deep Unfolding Network for Image Super-Resolution K. Zhang Luc Van Gool Radu Timofte SupR 113 539 0 23 Mar 2020