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Pushing to the Limit:An Attention-Based Dual-Prune Approach for Highly-Compacted CNN Filter Pruning

Yu-Chu Fang Wen-Zhong Li Yao Zeng Qing-Ning Lu Sang-Lu Lu

Journal of Computer Science & Technology2025，Vol.40Issue(3)：P.805-820,16.

Journal of Computer Science & Technology2025，Vol.40Issue(3)：P.805-820,16.DOI:10.1007/s11390-024-3536-3

Pushing to the Limit:An Attention-Based Dual-Prune Approach for Highly-Compacted CNN Filter Pruning

Yu-Chu Fang ¹Wen-Zhong Li ¹Yao Zeng ¹Qing-Ning Lu ¹Sang-Lu Lu¹

作者信息

1. State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing,210093,China
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摘要

关键词

ultra-high compression/dual attention based structured pruning/inter-layer dependency/layer collapse/neural network compression

分类

信息技术与安全科学

引用本文复制引用

Yu-Chu Fang,Wen-Zhong Li,Yao Zeng,Qing-Ning Lu,Sang-Lu Lu..Pushing to the Limit:An Attention-Based Dual-Prune Approach for Highly-Compacted CNN Filter Pruning[J].Journal of Computer Science & Technology,2025,40(3):P.805-820,16.

基金项目

supported by the Natural Science Foundation of Jiangsu Province of China under Grant No.BK20222003 （）

the National Natural Science Foundation of China under Grant Nos.61972196,61832008,and 61832005 （）

the Collaborative Innovation Center of Novel Software Technology and Industrialization,and the Sino-German Institutes of Social Computing. （）

Journal of Computer Science & Technology

ISSN：1000-9000

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