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2023 | OriginalPaper | Chapter

Review of Generative Adversarial Networks in Object Detection

Authors : Chenyang Zhou, Siman Kong, Jianzhi Sun

Published in: Artificial Intelligence in China

Publisher: Springer Nature Singapore

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Abstract

Generative Adversarial Network (GAN) has become a research focus in the field of deep learning, and its research output has grown exponentially. This brand-new technology provides new ideas and methods for object detection, and has achieved remarkable success. Firstly, this paper introduces the basic GAN model and its derivative models in the field of object detection. Then analyzes the application status of GAN from object detection fields, such as industrial defect detection, medical image detection, remote sensing image detection, and face detection. Finally, summarize and prospect the technology development of generative adversarial networks.

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Title: Review of Generative Adversarial Networks in Object Detection
Authors: Chenyang Zhou
Siman Kong
Jianzhi Sun
Publisher: Springer Nature Singapore
Book: Artificial Intelligence in China
Print ISBN: 978-981-9912-55-1

Electronic ISBN: 978-981-9912-56-8

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-981-99-1256-8_20

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