Survey
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 9
2582-2589

Survey of object detection algorithms based on two classification standards

Li Ping1,2
Yu Hongliu1
1. Institute of Rehabilitation Engineering & Technology, University of Shanghai for Science & Technology, Shanghai 200093, China
2. Dept. of Biomedical Engineering, Changzhi Medical College, Changzhi Shanxi 046000, China
DOI: 10.19734/j.issn.1001-3695.2021.01.0003

Abstract

With the development of big data, computational power and deep learning, the object detection algorithm based on deep learning becomes the mainstream algorithm in this field, and its performance is far superior to the traditional algorithms. In order to review the development of algorithms, track the latest research results, and promote the research in the field of object detection, this paper summarized the representative object detection algorithms from two dimensions: two-stage /one-stage and anchor-based/anchor-free, and realized the rectangular box or approximate rectangular box annotation under these two different classification standards. This paper discussed the process, characteristic, evolution and performance of the algorithms, and made the classification and analysis on the important improved versions. Finally, this paper summarized the advantages and disadvantages, limitations and applicable scenarios of the algorithms, and looked forward to the development trend in the field of object detection, and put forward several important research directions in the future.

Foundation Support

国家自然科学基金资助项目(62073224)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0003
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Survey
Pages: 2582-2589
Serial Number: 1001-3695(2021)09-003-2582-08

Publish History

[2021-09-05] Printed Article

Cite This Article

李平, 喻洪流. 基于两种分类标准的目标检测算法综述 [J]. 计算机应用研究, 2021, 38 (9): 2582-2589. (Li Ping, Yu Hongliu. Survey of object detection algorithms based on two classification standards [J]. Application Research of Computers, 2021, 38 (9): 2582-2589. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)