Dynamic frequency-adaptive image authenticator.

<div><p>With the rapid development of generative AI technology, AI-generated images pose significant challenges for authenticity verification and originality validation. This paper proposes SCADET, a novel detection framework that integrates Dynamic Frequency Attention Network (DFAN) and...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Xiaolong Zhang (470454) (author)
مؤلفون آخرون:	Zekai Yu (22693705) (author), Jianqiao Zhao (14519036) (author)
منشور في:	2025
الموضوعات:	Developmental Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified representing substantial improvements provide valuable insights model generalization capabilities model evaluation shows dynamically adjusts attention different artistic styles artbench dataset demonstrate ablation studies validate generated content detection addressing authenticity challenges novel detection framework paper proposes scadet generative ai technology detection framework authenticity verification xlink "> results advance rapid development originality validation low variance full image csan components csan ). contrastive learning comprehensive experiments baseline methods average accuracy
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Dynamic frequency-adaptive image authenticator.

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