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为您找到包含“Deep Convolution Network”的内容共1

ZHANG Jian-Wei,GUO Qiu-Shan,DONG Yuan,XIONG Feng-Ye,BAI Hong-Liang

Face recognition has achieved great success due to the development of Deep convolutional neural networks (DCNN). Loss functions with angular margin have been proposed to supervise DCNN for better feature representation. However, these methods would suffer from sensitivity of hyperparameters setting. In this paper, we propose an Adaptive Parameters Softmax Loss function with different scale parameters for target logits and non-target logits and dynamically adaptive margin parameter. Extensive experiments on MegaFace and IJB-C demonstrate the effectiveness of our method.

2019-09-24

National Natural Science Foundation (61532018

School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876,School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876,School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876,Beijing FaceALL Technology Ltd., Beijing 100081,Beijing FaceALL Technology Ltd., Beijing 100081

#Computer Science and Technology#

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