/deepid-implementation

DeepID-implementation is an implementation of paper "Deep Learning Face Representation from Predicting 10,000 Classes"

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deepid@460

DeepID-implementation

DeepID-implementation is an implementation of paper "Deep Learning Face Representation from Predicting 10,000 Classes", which proposes to learn a set of compact, 160-dims high level feature representations through deep learning, referred to as Deep hidden IDentity features (DeepID), for face verification.

More details in DeepID Notebook.

Dataset

Dataset People Image Size
CASIA-WebFace-custom 10,575 392,304 62x62
LFW 6,000 pairs 62x62

Train, Test Model

Model People Training images Validation images Train Test
62x62_3_e2_0264 264 9,554 939 train test
62x62_3_e2_0528 528 16,076 1,544 train test
62x62_3_e2_1057 1,057 37,977 3,686 train test
62x62_3_e2_2115 2,115 72,126 6,978 train test
62x62_3_e2_4230 4,230 143,939 13,977 train test
62x62_3_e2_8460 8,460 284,466 27,498 train test
62x62_3_e1_conventional 8,460 284,466 27,498 train test

Experiments

Test accuracy on LFW

with Joint Bayesian, Cosine Similarity, Euclidean Distance method.

Model Joint Bayesian Cosine Similarity Euclidean Distance
62x62_3_e2_0264 0.61 0.735 0.6745
62x62_3_e2_0528 0.60 0.749333 0.701
62x62_3_e2_1057 0.61 0.758333 0.709167
62x62_3_e2_2115 0.65 0.778167 0.7365
62x62_3_e2_4230 0.66 0.793167 0.756833
62x62_3_e2_8460 0.66 0.7985 0.757
62x62_3_e1_conventional 0.64 0.797667 0.763167

Reference

[1]. Yi Sun, Xiaogang Wang, Xiaoao Tang, Deep Learning Face Representation from Predicting 10,000 Classes, 2014-06-23

[2]. RiweiChen, Caffe实践-基于Caffe的人脸识别实现, 2015-11-01

[3]. RiweiChen, 深度学习论文笔记-Deep Learning Face Representation from Predicting 10,000 Classes, 2014-06-16

[4]. 張雨石, DeepID人脸识别算法之三代, 2014-12-23

[5]. RiweiChen, RiweiChen/DeepFace, 2016-04-14

[6]. Feng Wang, happynear/FaceVerification, 2016-04-25

[7]. Alfred Xiang Wu, AlfredXiangWu/face_verification_experiment, 2015-12-14