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A Review of the Application of Convolutional Neural Networks in Object Detection

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Artificial Intelligence in China (AIC 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 871))

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Abstract

Convolutional neural networks have become one of the important research directions in the field of computer vision based on deep learning, and they are widely used in object detection with excellent performance. Based on the research results of many scholars, the paper reviews the application research of convolutional neural networks in object detection, introduces its application research from three aspects: object detection based on candidate region, object detection based on regression and video object detection, and finally summarizes the development of convolutional neural networks in the field of object detection.

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Authors and Affiliations

  1. College of Computer Science, Beijing Technology and Business University, Beijing, 100048, China

    Siman Kong, Chenyang Zhou & Jianzhi Sun

Authors
  1. Siman Kong
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  2. Chenyang Zhou
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  3. Jianzhi Sun
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Corresponding author

Correspondence to Jianzhi Sun .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. Tianjin Normal University, Tianjin, China

    Wei Wang

  3. Tianjin Normal University, Tianjin, China

    Jiasong Mu

  4. Dalian University of Technology, Dalian, China

    Xin Liu

  5. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kong, S., Zhou, C., Sun, J. (2023). A Review of the Application of Convolutional Neural Networks in Object Detection. In: Liang, Q., Wang, W., Mu, J., Liu, X., Na, Z. (eds) Artificial Intelligence in China. AIC 2022. Lecture Notes in Electrical Engineering, vol 871. Springer, Singapore. https://doi.org/10.1007/978-981-99-1256-8_21

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  • DOI: https://doi.org/10.1007/978-981-99-1256-8_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1255-1

  • Online ISBN: 978-981-99-1256-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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