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Mis-classified Vector Guided Softmax Loss for Face Recognition
[article]
2019
arXiv
pre-print
Face recognition has witnessed significant progress due to the advances of deep convolutional neural networks (CNNs), the central task of which is how to improve the feature discrimination. To this end, several margin-based (e.g., angular, additive and additive angular margins) softmax loss functions have been proposed to increase the feature margin between different classes. However, despite great achievements have been made, they mainly suffer from three issues: 1) Obviously, they ignore the
arXiv:1912.00833v1
fatcat:5xzaugghdrcy3pbcjtnacuyvxi