Face recognition of students based on ArcFace


연구 분야: Verification



학회: ICASIT 2020: Proceedings of the 2020 International Conference on Aviation Safety and Information Technology


초록

With the development of AI technology, the field of face recognition has also entered a period of rapid development. Since 2012, deep learning has shined in ILSVRC-2012, the application of Convolutional Neural Network in image recognition is more and more extensive. Recognition research also relies on the deep learning algorithm and the superior learning ability of neural networks to achieve the unprecedented height of face recognition accuracy and recognition speed. This article is based on deep learning and neural network, using MXNet framework and ArcFace to design a more efficient face access control system.


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Yang Jie

School of Information Engineering Sichuan Agricultural University Key Laboratory of Agricultural Information Engineering of Sichuan Province

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Mu Jiong

School of Information Engineering Sichuan Agricultural University Key Laboratory of Agricultural Information Engineering of Sichuan Province

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Shu Baiyi

School of Information Engineering Sichuan Agricultural University Key Laboratory of Agricultural Information Engineering of Sichuan Province

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📄 논문 정보

발행 연도 2020년
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