Deep Forgery Detection Using CutMix Algorithm and Improved Xception Network

Pengzhi Geng; Yunqi Tang; Hongxing Fan; Xintong Zhu

doi:10.3788/LOP202259.1615007

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 16 >Page 1615007 > Article

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

Deep Forgery Detection Using CutMix Algorithm and Improved Xception Network

Pengzhi Geng¹, Yunqi Tang^1、*, 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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DOI: 10.3788/LOP202259.1615007 Cite this Article Set citation alerts

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 Copy Citation Text

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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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