TransU²-Net: A Hybrid Transformer Architecture for Image Splicing Forgery Detection

In recent years, various convolutional neural network (CNN) based frameworks have been presented to detect forged regions in images. However, most of the existing models can not obtain satisfactory performance due to tampered areas with various sizes, especially for objects with large-scale. In orde...

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Podrobná bibliografie

Hlavní autoři:	Caiping Yan, Shuyuan Li, Hong Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2023-01-01
Edice:	IEEE Access
Témata:	Image splicing forgery detection tampered region localization convolutional neural network self-attention cross-attention
On-line přístup:	https://ieeexplore.ieee.org/document/10090941/
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