Open umair-imran opened 1 year ago
Hi, CAT-Net is the first work to use DCT coefficients in CNN for forgery localization. While there have been follow-up works that have used DCT coefficients, as far as I know, none of them address the problem of removal forgeries. It is unclear whether this model is effective in detecting removal forgeries or if modifications are necessary.
Hi, I'm trying to detect removal tampering in images. As mentioned in this issue the reason CAT-Net is unable to detect these forgeries is due to lack of data. So, my question is, if I need to train this model on a removal dataset, how much will I need to change the model architecture or there will be no changes required?
Thanks in Advance.