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SphereFace in Pytorch

An implementation of SphereFace:Deep Hypersphere Embedding for Face Recognition. This project use MNIST as train data, which include network SphereFace4, SphereFace20 etc. and take shortcut connection implementation.

Install & Run:

1.Download

git clone git@github.com:Joyako/SphereFace-pytorch.git

2. Execution

python train.py

Result

Angular softmax loss feature map in MNIST.
Train:

Test:

Formula

1.The original softmax loss is defined as:

2.The L-Softmax loss is defined as:

3.Modified softmax loss(Normalization: ||w|| = 1, bais = 0):

4.A-Softmax loss:

Network

SphereFace20 network framework: