Gluon Face Toolkit¶
Gluon Face is a toolkit based on MXnet Gluon, provides SOTA deep learning algorithm and models in face recognition. If you are new to mxnet, please check out dmlc 60-minute crash course.
For Chinese readers, here is the zh-doc.
Gluon Face provides implement of losses in recent, including SoftmaxCrossEntropyLoss, ArcLoss, TripletLoss, RingLoss, CosLoss, L2Softmax, ASoftmax, CenterLoss, ContrastiveLoss, … , and we will keep updating in future.
Github: see details in gluon face.
If there is any method we overlooked, please open an issue.
Losses in GluonFR:¶
The last column of this chart is the best LFW accuracy reported in paper, they are trained with different data and networks, later we will give our results of these method with same train data and network.
|Method||Paper||Visualization of MNIST||LFW|