D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization. (arXiv:2012.01821v2 [cs.CV] UPDATED)

Recently, many detection methods based on convolutional neural networks
(CNNs) have been proposed for image splicing forgery detection. Most of these
detection methods focus on the local patches or local objects. In fact, image
splicing forgery detection is a global binary classification task that
distinguishes the tampered and non-tampered regions by image fingerprints.
However, some specific image contents are hardly retained by CNN-based
detection networks, but if included, would improve the detection accuracy of
the networks. To resolve these issues, …

arxiv cv detection encoder image localization unet