I am working on face anti-spoofing attack recently. I have tried lots of methods, including LBP, HOG + SVM, CNN and so on. However, I found that the models trained on casia dataset and replay attack dataset are not generalized very good, cross-validation results are not satisfactory, I also try to use your per-train VGG model, also have the same problem
I am working on face anti-spoofing attack recently. I have tried lots of methods, including LBP, HOG + SVM, CNN and so on. However, I found that the models trained on casia dataset and replay attack dataset are not generalized very good, cross-validation results are not satisfactory, I also try to use your per-train VGG model, also have the same problem