yinanhe / ForgeryNet

[CVPR 2021 Oral] ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
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About perturbations #44

Open raquelroman opened 1 year ago

raquelroman commented 1 year ago

Hello, I see that many images have severe perturbations. In the paper you mention that you randomly apply perturbations to 99% of the data. Are there annotations of which perturbations were applied to each image/video or at least which remain unchanged? I would like to use only videos with no perturbations or small ones.