FaceVerification

A messy code for developing a face verfication program.

It includes a C++ face detection / alignment program, joint bayesian and several supplementary codes. My Caffe model define file is also provided. Note that I use a fresh layer called Insanity to replace the ReLU activation. The Insanity layer can be found in my Caffe repository. Please feel free to use the codes if you need.

If you are also interested in face verification, please contact me via the issue.

The CASIA-webface dataset is really very dirty, and I believe that if someone could wash it up, the accuracy would increase further. If you did so, please kindly contact me. I will pay for it.

Progress

1. Training DeepID (pure softmax network).

   create database. done.

   iteration 360,000, lr=0.01,

    lfw verification: L2 : 95.9%, jb : 
   

   iteration 500,000, lr=0.001,

    lfw verification: L2 : 96.8%, jb : 93.3% (strongly overfit, it's >99% for lfw training set).
   

   iteration 660,000, lr=0.0001,

    lfw verification: L2 : 96.78% (converged)
   

   Accuracy on training set is about 89.5%~91.5%. LFW result with L2 or cosine has reached what the paper claimed. Joint Bayesian seems to be strongly overfit.

2. Training DeepID2 (siamese network)

   create database. done.