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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Veröffentlicht in: | IEEE access 2023-01, Vol.11, p.1-1 |
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