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This is an unofficial implementation for the 2019 ICCV paper 'Decorrelated Adversarial Learning for Age-Invariant Face Recognition' from Tencent AI Lab

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## Resize transformer block was added ```python ImageFolderWithAgeGroup(pat=self.dataset['pat'], pos=self.dataset['pos'], \ cutoffs=age_cutoffs, root=self.dataset['train_root'], transform=transforms.Compose(\ [transforms.RandomHorizontalFlip(p=0.5), transforms.ToTensor(), \ transforms.Normalize((0.5,0.5,0.5), (0.5,0.5,0.5)), transforms.Resize((96, 112))])) ``` this was added to the valid as well

I use the pre-trained face recognition model to train ,the cano_cor is always 0. I think it may be related to the pre-training model. Would you like to provide your...

hi ~ i find you used norm feature in backbone , can you explain this op? And compared to un-norm feature ,is it usefully code: renorm(2,0,1e-5).mul(1e-5)

Where is procedudre of the test, if I use the pretrained model on CACD-VS. And what is the data form of the test dataset? Thk.

Dear Can you please provide your trained model? I want to evaluate its performance on other datasets. I shall be grateful for your kind consideration, please. Thanks

Hello, Have you ever compared the effect of cosface and arcface?Which of them is better? Thank you!

Hello! How did you deal with the lack of age tags in VGGFace2? Can you please tell me what other data sets you used in addition to VGGface2 in the...

Is there any pre-processed dataset available? Thanks.