GAN-ViT-CMFD: A novel framework integrating generative adversarial networks and vision transformers for enhanced copy-move forgery detection and classification with spectral clustering

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Copy-move forgery detection (CMFD) is a critical task in digital forensics to ensure the authenticity of visual content. as the prevalence of advanced editing tools has made it increasingly easy to tamper with images. Such forgeries can have severe implications in fields like journalism. legal evidence. https://yeswellneses.shop/product-category/oven-mitts/

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GAN-ViT-CMFD: A novel framework integrating generative adversarial networks and vision transformers for enhanced copy-move forgery detection and classification with spectral clustering

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