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SoftwareGift / FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019

Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)
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Have you tried training the RGB dataset with FeatherNet? #62

Open Center0710 opened 4 years ago

Center0710 commented 4 years ago

Because my data set is only RGB, But I use you provide model(FeatherB) to do inferences very poorly (I know you use depth-image to training)

So I want to know if you have used RGB for training ? Can you share the results and let me know? Or you have suggested methods ? Thank you.

xiezheng-cs commented 4 years ago

Because my data set is only RGB, But I use you provide model(FeatherB) to do inferences very poorly (I know you use depth-image to training)

So I want to know if you have used RGB for training ? Can you share the results and let me know? Or you have suggested methods ? Thank you.

+1

paleomoon commented 4 years ago

The same question.

hustzeyu commented 4 years ago

+1

riskeverything commented 3 years ago

你们可以自测一下啊。我现在用了depth，和ir图像，depth基本可以到99%，ir最高到87%并且还是很容易过拟合的。rgb的效果，也可以试一下，但是应该是比ir还要差的。

promise12344321 commented 3 years ago

请问大家有ir数据集吗？