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 …
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) …
[HTML][HTML] A novel DeepMaskNet model for face mask detection and masked facial recognition
Abstract Coronavirus disease (COVID-19) has significantly affected the daily life activities of
people globally. To prevent the spread of COVID-19, the World Health Organization has …
people globally. To prevent the spread of COVID-19, the World Health Organization has …
Face mask detection on photo and real-time video images using Caffe-MobileNetV2 transfer learning
Face detection systems have generally been used primarily for non-masked faces, which
include relevant facial characteristics such as the ears, chin, lips, nose, and eyes. Masks are …
include relevant facial characteristics such as the ears, chin, lips, nose, and eyes. Masks are …
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 …
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 …
Face forgery detection by 3d decomposition and composition search
Detecting digital face manipulation has attracted extensive attention due to fake media's
potential risks to the public. However, recent advances have been able to reduce the forgery …
potential risks to the public. However, recent advances have been able to reduce the forgery …
VGG16-random Fourier hybrid model for masked face recognition
OK Sikha, B Bharath - Soft Computing, 2022 - Springer
With the recent COVID-19 pandemic, wearing masks has become a necessity in our daily
lives. People are encouraged to wear masks to protect themselves from the outside world …
lives. People are encouraged to wear masks to protect themselves from the outside world …
Masked face recognition challenge: The webface260m track report
According to WHO statistics, there are more than 204,617,027 confirmed COVID-19 cases
including 4,323,247 deaths worldwide till August 12, 2021. During the coronavirus epidemic …
including 4,323,247 deaths worldwide till August 12, 2021. During the coronavirus epidemic …
Mlfw: A database for face recognition on masked faces
As more and more people begin to wear masks due to current COVID-19 pandemic, existing
face recognition systems may encounter severe performance degradation when recognizing …
face recognition systems may encounter severe performance degradation when recognizing …