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Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.

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Hello,Thank you for your wonderful code!I see COLUMB data set is used in the paper, may I ask how do you deal with the mask of this data set

Hi @CauchyComplete again 💯 I am implementing your model with `tensorflow`. I try training it with CASIAv2/Tp (without pretrain) in 6 epoch but loss function reduce very low and not...

Is they must be same size, aspect ratio and compression? Is images may be slightly moved relative center of picture?

I am try train on small (400 images) CASIA dataset for debug purpose. I am get assert error: "assert 0

It is not this project guilt but jpegio can not read .jpeg with national symbols in path.

According to your paper, you initialized RGB Stream weight by pretrained on ImageNet and DCT Stream by double JPEG classification. Do you think that I can train CAT-NET model without...

For example: attached image. My cat with melon. Original photo, slightly unfocused. Please, ignore all text ![Cat_with_Melon_ orig _ test](https://user-images.githubusercontent.com/84853762/134893721-5d406c70-812e-4510-9ad4-f0c737423efa.png) .

Hi, thank you for perfect project loading model from output/splicing_dataset/CAT_DCT_only/DCT_only_v2.pth.tar Epoch: 199 0% 0/2 [00:01

when I test your code ,I find the **Resolution of output is lower than the input**.How can I solve the problem.