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