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Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1615007(2022)

Deep Forgery Detection Using CutMix Algorithm and Improved Xception Network

Pengzhi Geng1, Yunqi Tang1、*, Hongxing Fan2, and Xintong Zhu1
Author Affiliations
  • 1School of Criminal Investigation, People’s Public Security University of China, Beijing 100038, China
  • 2Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
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    Article index updated:May. 24, 2024

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    Pengzhi Geng, Yunqi Tang, Hongxing Fan, Xintong Zhu. Deep Forgery Detection Using CutMix Algorithm and Improved Xception Network[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1615007

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    Paper Information

    Category: Machine Vision

    Received: Jul. 8, 2021

    Accepted: Jul. 28, 2021

    Published Online: Jul. 22, 2022

    The Author Email: Tang Yunqi (tangyunqi@ppsuc.edu.cn)

    DOI:10.3788/LOP202259.1615007

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology