Face mask detection in smart cities using deep and transfer learning: Lessons learned from the COVID-19 pandemic
After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does
not look to be ending soon for most countries across the world. To slow the spread of the …
not look to be ending soon for most countries across the world. To slow the spread of the …
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 …
[HTML][HTML] Empowering covid-19 detection: Optimizing performance through fine-tuned efficientnet deep learning architecture
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday
experiences of individuals across the planet. It is a highly contagious respiratory disease …
experiences of individuals across the planet. It is a highly contagious respiratory disease …
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 …
Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19
GS Kashyap, J Sohlot, A Siddiqui, R Siddiqui… - arxiv preprint arxiv …, 2024 - arxiv.org
A health crisis is raging all over the world with the rapid transmission of the novel-
coronavirus disease (Covid-19). Out of the guidelines issued by the World Health …
coronavirus disease (Covid-19). Out of the guidelines issued by the World Health …
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 …
3D Human Action Recognition: Through the eyes of researchers
Abstract Human Action Recognition (HAR) has remained one of the most challenging tasks
in computer vision. With the surge in data-driven methodologies, the depth modality has …
in computer vision. With the surge in data-driven methodologies, the depth modality has …
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) …
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 …
Integration of improved YOLOv5 for face mask detector and auto-labeling to generate dataset for fighting against COVID-19
One of the most effective deterrent methods is using face masks to prevent the spread of the
virus during the COVID-19 pandemic. Deep learning face mask detection networks have …
virus during the COVID-19 pandemic. Deep learning face mask detection networks have …