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Extracting PRNU signal with CNN denoisers
Dear @zengh5
I read your great paper, "A comparison study of CNN denoisers on PRNU extraction."
I have a model that I've defined as criterion = nn.CrossEntropyLoss().to(device)
.
So in the training part I have loss = criterion(outputs, labels)
I want to use your p-based loss function,
but I don't know how?
Could you please help me with that?
Hello, sorry to disturb you, I would like to know where can i get the pretrained model of DANet?
Thank you.
Hello, is the size of the PRNU image in your result the same as the input image?
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