An end-to-end face recognition method with alignment learning-Reference-Cited by-同舟云学术

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An end-to-end face recognition method with alignment learning

Published:2020-03 Issue: Volume:205 Page:164238
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Tang Fenggao,Wu Xuedong,Zhu Zhiyu,Wan Zhengang,Chang Yanchao,Du Zhaoping,Gu Lili

Funder

National Natural Science Foundation of China

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference23 articles.

1. Sphereface: deep hypersphere embedding for face recognition;Liu;IEEE Conference on Computer Vision and Pattern Recognition,2017

2. CosFace: large margin cosine loss for deep face recognition;Wang;IEEE Conference on Computer Vision and Pattern Recognition,2018

3. Additive margin softmax for face verification;Wang;IEEE Signal Process. Lett.,2018

4. Facenet: a unified embedding for face recognition and clustering;Schroff;IEEE Conference on Computer Vision and Pattern Recognition,2015

5. A comprehensive survey on pose-invariant face recognition;Ding;ACM Trans. Intell. Syst. Technol.,2015

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2. Goat-Face Recognition in Natural Environments Using the Improved YOLOv4 Algorithm;Agriculture;2022-10-11

3. Real time face detection and identification from video sequences combining LBP algorithm and convolutional neural network;2022 IEEE Information Technologies & Smart Industrial Systems (ITSIS);2022-07-15

4. A hybrid low-light image enhancement method using Retinex decomposition and deep light curve estimation;Optik;2022-06

5. Face tracking and recognition in video moving images based on convolutional neural network;Multimedia Tools and Applications;2022-04-21

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