Various-Loss-Function-in-Face-Recognition
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Keras implementation of various loss functions in face recognition and visualization on Mnist
Various_softmax_by_Keras
Keras implementation of various loss functions in face recognition and visualization on Mnist
Author | LCorleone |
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[email protected] |
Requirements
- tensorflow 1.5
- keras 2.2.0
- some common packages like numpy and so on.
Quick start
- Now we support original softmax, center loss, A-softmax and AM-softmax.
- Just change the loss_name in keras_mnist_loss_compare.py
loss_name = 'AM-softmax'
Mnist Visualization
original softmax
center-loss
A-softmax
AM-softmax
To do
- [x] original softmax
- [x] center loss
- [x] A-softmax
- [x] AM-softmax
- [ ] AAM-softmax(ArcFace)