Your centerloss model on MS-Celeb-1M about faceverification

[happynear]

The flip layer and the alpha parameter are implemented in my caffe https://github.com/happynear/caffe-windows/tree/ms . Anyway, you may directly delete the alpha parameters and several layers such as flip_data, concat_data, slice_fc5 and eltmax_fc5, then extract features of both front face and mirror face and do element-wise max operation on them. It should be same with my model definition. I do this just because I believe in the so-called "end-to-end" learning. In fact, there is no gain in accuracy after I integrate the flip and eltmax into cnn training.

The solver and train_val is actually the same with center-face, with only the step values changed. I don't know the best step values. I just observe and decrease the learning rate manually.