Recognition of Faces Wearing Masks Using Skip Connection Based Dense Units Augmented With Self Restrained Triplet Loss-Reference-Cited by-同舟云学术

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Recognition of Faces Wearing Masks Using Skip Connection Based Dense Units Augmented With Self Restrained Triplet Loss

Published:2022-10-21 Issue: Volume: Page:
ISSN:
Container-title:2022 24th International Multitopic Conference (INMIC)
language:
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Author:

Nawshad M.A.¹,Zafar Z.¹,Fraz M.M.¹

Affiliation:

1. National University of Sciences and Technology (NUST),Islamabad,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9972897/9972881/09972912.pdf?arnumber=9972912

Reference24 articles.

1. Learning face representation from scratch;yi;ArXiv Preprint,2014

2. MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

3. Person re-identification: A retrospective on domain specific open challenges and future trends;zahra;ArXiv Preprint,2022

4. Boosting masked face recognition with multi-task arcface;montero;ArXiv Preprint,2021

5. Self-restrained triplet loss for accurate masked face recognition

Cited by 2 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. Boosting facial recognition capability for faces wearing masks using attention augmented residual model with quadruplet loss;Machine Vision and Applications;2023-09-20

2. Improving Masked Face Recognition Using Dense Residual Unit Aided with Quadruplet Loss;Image and Vision Computing;2023

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