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Zhu et al., 2022 - Google Patents

Rggid: A robust and green gan-fake image detector

Zhu et al., 2022

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Document ID
6042192676550005572
Author
Zhu Y
Wang X
Salloum R
Chen H
Kuo C
et al.
Publication year
Publication venue
APSIPA Transactions on Signal and Information Processing

External Links

Snippet

Generative adversarial networks (GANs) are often used to synthesize realistic looking images, which can be a source of dis/misinformation. To detect GAN-fake images effectively, a robust and lightweight detector is proposed and named RGGID (Robust and Green GAN …
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Classifications

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    • G06K9/4652Extraction of features or characteristics of the image related to colour
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G06K9/00268Feature extraction; Face representation
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    • G06F17/30799Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
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