CAT-Net
CAT-Net copied to clipboard
Question about training
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.
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.