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 …
Sface: Privacy-friendly and accurate face recognition using synthetic data
Recent deep face recognition models proposed in the literature utilized large-scale public
datasets such as MS-Celeb-1M and VGGFace2 for training very deep neural networks …
datasets such as MS-Celeb-1M and VGGFace2 for training very deep neural networks …
Identity-driven three-player generative adversarial network for synthetic-based face recognition
Many of the commonly used datasets for face recognition development are collected from
the internet without proper user consent. Due to the increasing focus on privacy in the social …
the internet without proper user consent. Due to the increasing focus on privacy in the social …
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 …
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 …
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 …
Mixfacenets: Extremely efficient face recognition networks
In this paper, we present a set of extremely efficient and high throughput models for accurate
face verification, Mix-FaceNets which are inspired by Mixed Depthwise Convolutional …
face verification, Mix-FaceNets which are inspired by Mixed Depthwise Convolutional …
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 …