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Review of intermediate deep feature compression

Wang Wei1,2
Xu Long1,3
Chen Zhuo4
1. State Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China
4. Institute of Infocomm Research, A*STAR, Singapore 999002, Singapore

Abstract

As a new research hotspot in deep learning, intermediate deep feature compression has gotten a great deal of attention and has been applied to edge-cloud intelligent collaboration. This paper summarized the current state of research on the intermediate deep feature compression and analyzed the problems in the current methods. Firstly, it introduced three kinds of intermediate deep feature compression from aspects of image/video coding framework, channel bit allocation and network units. Then it did the comparisons of the data set performance between the three intermediate deep feature compression. Finally, this paper discussed the existing challenges and solutions in intermediate deep feature compression and looked forward to the feature trends of intermediate deep feature compression.

Foundation Support

国家重点研发计划资助项目(2021YFA1600504)
国家自然科学基金资助项目(11790305)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.09.0493
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Survey
Pages: 1281-1291
Serial Number: 1001-3695(2023)05-001-1281-11

Publish History

[2023-01-13] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

汪维, 徐龙, 陈卓. 深度学习模型中间层特征压缩技术综述 [J]. 计算机应用研究, 2023, 40 (5): 1281-1291. (Wang Wei, Xu Long, Chen Zhuo. Review of intermediate deep feature compression [J]. Application Research of Computers, 2023, 40 (5): 1281-1291. )

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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