by Feng Wang, Weiyang Liu, Haijun Liu, Jian Cheng

https://arxiv.org/abs/1801.05599

Requirements: My caffe version https://github.com/happynear/caffe-windows.

The prototxt file is in ./prototxt. The batch size is set to 256. If your GPU's memory is not sufficient enough, you may set iter_size: 2 in face_solver.prototxt and batch_size: 128 in face_train_test.prototxt.

The dataset used for training is CASIA-Webface. We removed 59 identities that are duplicated with LFW (17) and MegaFace Set 1 (42). This is why the final inner-product layer's output is 10516. The list of the duplicated identities can be found in https://github.com/happynear/FaceDatasets.

All other settings are the same with SphereFace. Please refer to the details in SphereFace's repository.