Hybrid descriptor and optimized CNN with transfer learning for face recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11849-1.pdf
Reference59 articles.
1. Adjabi I, Ouahabi A, Benzaoui A, Taleb-Ahmed A (2020) Past, present, and future of face recognition: a review. Electronics 9(8):1188. https://doi.org/10.3390/electronics9081188
2. Ali W, Tian W, Din SU, Iradukunda D, Khan AA (2021) Classical and modern face recognition approaches: a complete review. Multimed Tools Appl 80(3):4825–4880. https://doi.org/10.1007/s11042-020-09850-1
3. Almabdy S, Elrefaei L (2019) Deep convolutional neural network-based approaches for face recognition. Appl Sci 9(20):4397. https://doi.org/10.3390/app9204397
4. Ameur B, Belahcene M, Masmoudi S, Derbel AG and Ben Hamida A (2017, May) A new GLBSIF descriptor for face recognition in the uncontrolled environments. International conference on advanced Technologies for Signal and Image Processing (ATSIP), pp. 1-6. https://doi.org/10.1109/ATSIP.2017.8075591
5. Ameur B, Belahcene M, Masmoudi S, Hamida AB (2019) Hybrid descriptors and weighted PCA-EFMNet for face verification in the wild. Int J Multimed Inf Retr 8(3):143–154. https://doi.org/10.1007/s13735-019-00175-w
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Self-supervised Deep Learning Based End-to-End Face Verification Method using Siamese Network;2023 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI);2023-12-11
2. An efficient model for detecting real-time facemask based on different Classification Algorithms;Multimedia Tools and Applications;2023-12-02
3. Deep Unified Model for Face Recognition based on Convolution Neural Network and Edge Computing;2023 8th International Conference on Communication and Electronics Systems (ICCES);2023-06-01
4. Reducing false positive rate with the help of scene change indicator in deep learning based real-time face recognition systems;Multimedia Tools and Applications;2023-05-13
5. Two-stage morph detection scheme for face and iris biometrics;Multimedia Tools and Applications;2023-04-22
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3