deepcam-cn / Face-Anti-spoofing.pytorch

Train code of face anti-spoofing with a single RGB frame

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Questions about the network architecture

taylover-pei opened this issue · comments

You have done a great work.
But, I have a question about the architecture about the network.
In your paper, the network details are as follows:
image

And I think it is similar to the network proposed in Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision.

But, when I look into your code about the definition of the network, I think there is a big difference about the implementation of the network between the code and the paper.

Or are these two networks of the code and the paper equivalent?

Looking forward to your reply.
Thanks.

Hi,the network used in the code is different from the one described in the paper. you can modify it as you want.

Can you point out what are the differences and why those changes were made?