Model_Zoo

Gluon-Face Model_Zoo

Mobilefacenet Result.

TestSet	Ours	Insightface	Proposed
LFW:	99.56	99.50	99.55
CFP_FP:	92.98	88.94	-
AgeDB30:	95.86	95.91	96.07

Reference:

1. Our code train script and log/model(Baidu:y5zh, Google Drive).
2. Insightface result.
3. Mobilefacenets papers.(No open project)

Details

Flip	False	True
lfw:	0.995500+-0.003337	0.995667+-0.003432
calfw:	0.951000+-0.012069	0.973083+-0.022889
cplfw:	0.882000+-0.014295	0.938556+-0.045234
cfp_fp:	0.927714+-0.015309	0.929880+-0.035907
agedb_30:	0.958667+-0.008492	0.934903+-0.033667
cfp_ff:	0.995571+-0.002744	0.944868+-0.037657
vgg2_fp:	0.920600+-0.010920	0.940581+-0.032677

Information

1. Github has some projects train to a high level, but with embedding_size of 512,compare with them we use embedding_size of 128 which origin paper proposed, model size is only 4.1M.
2. Welcome to use our train script to do more exploration, and if you get better results you could make a pr to us.
3. We Pre-trained model through L2-Regularization, output is cos(theta).