ADCD-Net adaptively weights JPEG-DCT features by a predicted alignment score and disentangles document content from editing traces to localize forgeries robustly under resizing, cropping, compression, blur, and noise.
A conditional random field model for font forgery detection
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ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement
ADCD-Net adaptively weights JPEG-DCT features by a predicted alignment score and disentangles document content from editing traces to localize forgeries robustly under resizing, cropping, compression, blur, and noise.