Closed chris-clem closed 3 years ago
How to use ManTraNet for fake image classification? Do you have ideas?
I don't know what is your application. But it is clear that the first image is out of the scope that the ManTraNet can handle -- it is already processed by concatenating two images together.
For fake image classification, I think you need to build additional modules to take the ManTraNet intermediate feature (not the averaged feature, but the deviations) as the input for a classification network.
Hi,
How can I use ManTraNet for fake image classification? I was thinking about using a threshold for the sum of the ManTraNet output, but the output for real images show quite some noise:
Is there a better way to do it?