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vpl

Variational Prototype Learning for Deep Face Recognition

This is the Pytorch implementation of our paper Variational Prototype Learning for Deep Face Recognition which is accepted by CVPR-2021.

How to run

Define a new configure file such as configs/example_ms1m.py, and start the training process by:

bash run.sh configs/example_ms1m.py

Results

Results on WebFace600K(subset of WebFace260M), loss is margin-based softmax.

Backbone Dataset VPL? Mask Children African Caucasian South Asian East Asian MR-All
R50 WebFace600K NO 78.949 74.772 89.231 94.114 92.308 73.765 90.591
R50 WebFace600K YES 78.884 75.739 89.424 94.220 92.609 74.365 90.942