yirongmao / nan Goto Github PK
View Code? Open in Web Editor NEWThis is an unofficial PyTorch 1.0.1 implementation of the papr Neural Aggregation Network for Video Face Recognition. CVPR 2017
License: MIT License
This is an unofficial PyTorch 1.0.1 implementation of the papr Neural Aggregation Network for Video Face Recognition. CVPR 2017
License: MIT License
Hello, author.I recently wanted to make changes to the first network part of this code.But I don't know how the ResNet34 network is implemented in your code. Is it convenient for you to send the ResNet34 network implementation code?
hello, thank you for sharing your code. Would you please provide a demo or a pre_trained model for test? thanks!
Hello, I study Face Recognition and I'm interested in the paper 'NAN'. So, I'm looking for some open sources about this paper and I come in your github.
First of all, Thank you for sharing your code. But, I have a problem with using your source code. The problem is that I can't download step 1 file(resnet34_feat.zip) from baidu website. I should login that website when I download the file. But, I can join that website. Because I have no cell phone in China.
So, Could you let me know another way to get that file(I already refer your github 'COSENet', But, I don't know How to get resnet34_feat.zip from that source) or send me by email(My email address is [email protected] or [email protected])?
Hope you have a nice day!
Thank you.
Hi! I am following your repo as is, but the only difference is that I am computing feature embeddings using ArcFace+Resnet100 pre-trained model. Could you please guide me through the steps you took to generate .mat files of feature embeddings? I am using the face bounding box information given in train split files and then computing it's embedding. The TAR@FAR values I am getting are significantly lower than yours. Waiting for your response!
Thanks
hi:
thank you for sharing your code of NAN, but, I have some questions about it:
1. Is there any other way to get pre-trained model and data? like google drive link?
2. How train list and test list generated?
3. why face features are extracted by ResNet34 with only SoftMax loss, not CosoNet best model?
thanks!
我运行了您的代码但accuracy显示很小,甚至是0,这是为什么呢?,另外我并不能清晰地看到原始数据,请问您有IJB-A的数据集吗?
I ran your code but the accuracy shows very little, even 0, why is that? , In addition, I can't see the raw data clearly, do you have an IJB-A dataset
Dear, I'm looking for the celebrity-1000 dataset download page. But I can't find it. Could you help me?
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