Masked face recognition using deep learning: A review
A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …
presented and applied in various fields, such as masked face tracking for people safety or …
Biometrics in the era of COVID-19: challenges and opportunities
M Gomez-Barrero, P Drozdowski… - … on Technology and …, 2022 - ieeexplore.ieee.org
Since early 2020, the COVID-19 pandemic has had a considerable impact on many aspects
of daily life. A range of different measures have been implemented worldwide to reduce the …
of daily life. A range of different measures have been implemented worldwide to reduce the …
Self-restrained triplet loss for accurate masked face recognition
Using the face as a biometric identity trait is motivated by the contactless nature of the
capture process and the high accuracy of the recognition algorithms. After the current COVID …
capture process and the high accuracy of the recognition algorithms. After the current COVID …
Hybrid transfer learning and broad learning system for wearing mask detection in the COVID-19 era
B Wang, Y Zhao, CLP Chen - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the era of Corona Virus Disease 2019 (COVID-19), wearing a mask can effectively protect
people from infection risk and largely decrease the spread in public places, such as …
people from infection risk and largely decrease the spread in public places, such as …
How to correctly detect face-masks for covid-19 from visual information?
The new Coronavirus disease (COVID-19) has seriously affected the world. By the end of
November 2020, the global number of new coronavirus cases had already exceeded 60 …
November 2020, the global number of new coronavirus cases had already exceeded 60 …
MFR 2021: Masked face recognition competition
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held
within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition …
within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition …
Boosting masked face recognition with multi-task arcface
In this article, we tackle the recognition of faces wearing surgical masks. Surgical masks
have become a necessary piece of daily apparel because of the COVID-19-related …
have become a necessary piece of daily apparel because of the COVID-19-related …
MFCosface: a masked-face recognition algorithm based on large margin cosine loss
H Deng, Z Feng, G Qian, X Lv, H Li, G Li - Applied sciences, 2021 - mdpi.com
The world today is being hit by COVID-19. As opposed to fingerprints and ID cards, facial
recognition technology can effectively prevent the spread of viruses in public places …
recognition technology can effectively prevent the spread of viruses in public places …
Real masks and spoof faces: On the masked face presentation attack detection
Face masks have become one of the main methods for reducing the transmission of COVID-
19. This makes face recognition (FR) a challenging task because masks hide several …
19. This makes face recognition (FR) a challenging task because masks hide several …
Focusface: Multi-task contrastive learning for masked face recognition
SARS-CoV-2 has presented direct and indirect challenges to the scientific community. One
of the most prominent indirect challenges advents from the mandatory use of face masks in a …
of the most prominent indirect challenges advents from the mandatory use of face masks in a …