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#artificial intelligence Preprint Sep 2026

Forensic-Aware Continual Adaptation for Image Forgery Localization

The rapid evolution of image manipulation techniques has raised growing public security concerns. Existing Image Forgery Localization (IFL) methods can accurately localize manipulated regions but are often unable to adapt to newly emerging forgeries. In real-world forensic scenarios, data typically arrive sequentially,...

Chen-Qi Kong, Song Xia, An-Wei Luo et al. · 0 citations
Aug 2026

F2Mamba: Fine-grained forgery-aware Mamba for image manipulation localization.

A Fine-grained Forgery-aware Mamba is proposed that learns multi-scale global features at low computational cost with the linear-complexity global modeling capability of VMamba and achieves strong generalization capability compared with state-of-the-art IML models.

Zi-Ying Zhao, Nan-Run Zhou, Yan Luo et al. · 0 citations

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