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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 5
1467-1471,1477

Adaptive threshold-based recurrent pruning algorithm

Wang Yizhong
Guo Zhendong
Fang Chen
Yang Guowei
Wang Qiqi
Guo Xiaoyong
College of Electronic Information & Automation, Tianjin University of Science & Technology, Tianjin 300222, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0413

Abstract

For the problem of complex network model and large number of redundant parameters in YOLO series object detection algorithm, this paper proposed an adaptive threshold recurrent pruning algorithm, after the base training and sparsity training, it entered into the adaptive threshold pruning module, which evaluated the importance of channels and convolutional layers by scaling factors for the distribution of scaling factors, and learnt to a pruning threshold autonomously. Then it pruned the network model, and this process could be cyclic and applied in channel pruning and layer pruning. The thresholds in this algorithm were not artificially set, but were obtained by learning for the current network structure and obtaining a better streamlined model by pruning. It validated the algorithm experiments on three datasets based on YOLOv3, and the results show that the algorithm shows strong adaptability to different datasets and different network structures, and the model pruned by adaptive threshold which achieves better results in terms of detection accuracy, compression effect, and inference speed compared with the traditional fixed thresholds.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0413
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: Algorithm Research & Explore
Pages: 1467-1471,1477
Serial Number: 1001-3695(2022)05-030-1467-05

Publish History

[2021-12-08] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

王以忠, 郭振栋, 房臣, 等. 基于自适应阈值的循环剪枝算法 [J]. 计算机应用研究, 2022, 39 (5): 1467-1471,1477. (Wang Yizhong, Guo Zhendong, Fang Chen, et al. Adaptive threshold-based recurrent pruning algorithm [J]. Application Research of Computers, 2022, 39 (5): 1467-1471,1477. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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