CDCN-Face-Anti-Spoofing.pytorch icon indicating copy to clipboard operation
CDCN-Face-Anti-Spoofing.pytorch copied to clipboard

Original paper uses PRNet for depth map estimation

Open himansh1314 opened this issue 3 years ago • 1 comments

I read the CDCN paper and it uses PRNet for estimating the 32*32 depth map. However, here I didn't find anything as such. Can you please give a clarification on this? What exactly is the output? Is it a depth map? And if the output is depth map then how is the depth map provided as ground truth?

himansh1314 avatar May 05 '21 15:05 himansh1314

The depth map here is just kind of pseudo map where all 1s represent a true face and all 0s represent a fake face

voqtuyen avatar Feb 08 '22 10:02 voqtuyen