Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention

Author:

Tian Guanzhong,Sun Yiran,Liu Yuang,Zeng Xianfang,Wang Mengmeng,Liu Yong,Zhang Jiangning,Chen Jun

Funder

National Key Research and Development Program of China

Science and Technology Project of State Grid Corporation of China SGCC Fundamental theory of human-in-the-loop hybrid-augmented intelligence for power grid dispatch and control

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Global probability distribution structure-sparsity filter pruning for edge fault diagnosis in resource constrained wireless sensor networks;Engineering Applications of Artificial Intelligence;2024-07

2. Feature independent Filter Pruning by Successive Layers analysis;Computer Vision and Image Understanding;2023-11

3. A Survey of the Interpretability Aspect of Deep Learning Models;Journal of Biomedical and Sustainable Healthcare Applications;2023-01-05

4. Structured Pruning for Deep Convolutional Neural Networks: A Survey;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023

5. Drone Navigation Using Region and Edge Exploitation-Based Deep CNN;IEEE Access;2022

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