文件名称：ArcFace: Additive Angular Margin Loss for Deep Face Recognition
文件大小：1.64MB
文件格式：PDF
更新时间：2021-12-23 04:21:54
renlianshibi
One of the main challenges in feature learning using Deep Convolutional Neural Networks (DCNNs) for large- scale face recognition is the design of appropriate loss func- tions that enhance discriminative power. Centre loss pe- nalises the distance between the deep features and their cor- responding class centres in the Euclidean space to achieve intra-class compactness. SphereFace assumes that the lin- ear transformation matrix in the last fully connected layer can be used as a representation of the class centres in an angular space and penalises the angles between the deep features and their corresponding weights in a multiplicative way.