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 …
A real-time cnn-based lightweight mobile masked face recognition system
Due to the global spread of the Covid-19 virus and its variants, new needs and problems
have emerged during the pandemic that deeply affects our lives. Wearing masks as the most …
have emerged during the pandemic that deeply affects our lives. Wearing masks as the most …
PLFace: Progressive learning for face recognition with mask bias
The outbreak of the COVID-19 coronavirus epidemic has promoted the development of
masked face recognition (MFR). Nevertheless, the performance of regular face recognition is …
masked face recognition (MFR). Nevertheless, the performance of regular face recognition is …
Webface260M: A benchmark for million-scale deep face recognition
Face benchmarks empower the research community to train and evaluate high-performance
face recognition systems. In this paper, we contribute a new million-scale recognition …
face recognition systems. In this paper, we contribute a new million-scale recognition …
A survey on masked facial detection methods and datasets for fighting against COVID-19
B Wang, J Zheng, CLP Chen - IEEE Transactions on Artificial …, 2021 - ieeexplore.ieee.org
Coronavirus disease 2019 (COVID-19) continues to pose a great challenge to the world
since its outbreak. To fight against the disease, a series of artificial intelligence (AI) …
since its outbreak. To fight against the disease, a series of artificial intelligence (AI) …
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 …
Sdfr: Synthetic data for face recognition competition
Large-scale face recognition datasets are collected by crawling the Internet and without
individuals' consent, raising legal, ethical, and privacy concerns. With the recent advances in …
individuals' consent, raising legal, ethical, and privacy concerns. With the recent advances in …
Mask-invariant face recognition through template-level knowledge distillation
The emergence of the global COVID-19 pandemic poses new challenges for biometrics. Not
only are contactless biometric identification options becoming more important, but face …
only are contactless biometric identification options becoming more important, but face …
A quality aware sample-to-sample comparison for face recognition
Currently available face datasets mainly consist of a large number of high-quality and a
small number of low-quality samples. As a result, a Face Recognition (FR) network fails to …
small number of low-quality samples. As a result, a Face Recognition (FR) network fails to …