Open AccessFace verification algorithm based on Angular Margin triplet
Author(s) -
Ning Wang,
Tao Meng,
Xiaoyong Chen,
Dunlei Yuan,
Qihong Yue,
Xiangqian Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1820/1/012189
Subject(s) - softmax function , generalization , function (biology) , margin (machine learning) , algorithm , computer science , face (sociological concept) , class (philosophy) , facial recognition system , similarity (geometry) , pattern recognition (psychology) , artificial intelligence , cosine similarity , speech recognition , mathematics , artificial neural network , machine learning , mathematical analysis , social science , evolutionary biology , sociology , image (mathematics) , biology
In recent years, the face recognition algorithm based on CNN mainly focuses on the improvement of loss function. This paper improves the softmax loss function from two aspects: one is to normalize the weight and features of the loss function, the other is to introduce in class cosine similarity judgment on the basis of the original loss function. These improvements eventually make the distribution of features within the class closer and the distance between classes as far as possible. The recognition accuracy and generalization ability of the network are enhanced.