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PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)

Python 98.66% Shell 1.34%
dul data-uncertainty-learning pytorch-implementation face-recognition

dul's Issues

关于标准差的范围

你好。原文中提到将σ限制到[0,1]范围内,以保证KL损失在单调递减范围内,但是我在代码里面好像没有看到有限制std的范围,请问是什么原因?

KL-loss is too large

Thanks for your great work!
I noticed the KL-loss in your log is about 4. But when I run this code, the KL-loss was too large and turned out to be as high as 400 at the beginning! It's not normal but I haven't figure it out. Do you know the possible reason? Thanks a lot!

Screenshot from 2023-12-05 15-44-42

Screenshot from 2023-12-05 15-45-20

About softmax loss of cls loss

It seems like you did not use softmax loss to classification as the paper said.

This class

You just used a fully connected layer, so it is another CEloss.

Is there anything that I have missed? or it is a little mistake?

Checkpoints

Hi,
Are checkpoints available for this model or should I train the model to get them?
Thanks.

关于代码的问题

您好我想问一下,这个模型在测试阶段还需要使用方差吗?在测试阶段应该直接用mu就行了吧,但是我看代码好像是都使用了

pretrained models

Hi,

First thanks for your great work.

I am wondering if you feel comfortable uploading pretrained models.

Looking forward to your reply.
Thanks

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