[HTML][HTML] Deep learning-based user experience evaluation in distance learning

R Sadigov, E Yıldırım, B Kocaçınar, F Patlar Akbulut… - Cluster …, 2024 - Springer
The Covid-19 pandemic caused uncertainties in many different organizations, institutions
gained experience in remote working and showed that high-quality distance education is a …

A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmasking

M Mahmoud, MSE Kasem, HS Kang - arXiv preprint arXiv:2405.05900, 2024 - arxiv.org
Masked face recognition (MFR) has emerged as a critical domain in biometric identification,
especially by the global COVID-19 pandemic, which introduced widespread face masks …

Attendance System Optimization through Deep Learning Face Recognition

M Ali, A Diwan, D Kumar - International Journal of Computing …, 2024 - journal.uob.edu.bh
The significance of face recognition technology spans across diverse domains due to its
practical applications. This study introduces an innovative face recognition system that …

Semi-supervised, Neural Network based approaches to face mask and anomaly detection in surveillance networks

S Saheel, A Alvi, AR Ani, T Ahmed, MF Uddin - Journal of Network and …, 2024 - Elsevier
In the post-pandemic world, surveillance cameras play a key aspect when it comes to
detecting various kinds of security risks. These can range from burglars entering a premises …

FaceLite: A Real-Time Light-Weight Facemask Detection Using Deep Learning: A Comprehensive Analysis, Opportunities, and Challenges for Edge Computing

AK Paul - Computer Networks and Communications, 2024 - ojs.wiserpub.com
The edge computing devices running models based on deep learning have drawn a lot of
interest as a prominent way of handling various applications based on AI. Due to limited …

AutoFace: How to Obtain Mobile Neural Network-based Facial Feature Extractor in Less Than 10 Minutes?

AV Savchenko - IEEE Access, 2024 - ieeexplore.ieee.org
Various mobile and edge devices have significantly different processing capabilities, making
it challenging to develop a single universal architecture of a neural network to extract facial …

A Smart Surveillance System for Facemask Detection using custom CNN-BIDNet

I ul Haque, MA Bhuiyan, SMAS Al Banna… - IEEE …, 2024 - ieeexplore.ieee.org
Amidst the global health crisis, the importance of face masks persists as a crucial measure in
mitigating contagious diseases. Wearing face masks is advised as a comprehensive …

Model Compression Techniques in Biometrics Applications: A Survey

E Caldeira, PC Neto, M Huber, N Damer… - arXiv preprint arXiv …, 2024 - arxiv.org
The development of deep learning algorithms has extensively empowered humanity's task
automatization capacity. However, the huge improvement in the performance of these …

Adapting face recognition to the masked world: leveraging deep attention networks with a custom dataset

H Trivedi, M Goyani - International Journal of Computers and …, 2024 - Taylor & Francis
In the era of COVID-19, past face recognition algorithms' performance is downgraded due to
the partial occlusion of face mask. A new Indian face image dataset has been proposed …

DCM2Net: an improved face recognition model for panoramic stereoscopic videos

D Zhang, WH Tan, Y Wei, CK Tan - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
The panoramic stereo video has brought a new visual experience for the audience with its
immersion and stereo effect. In panoramic stereo video, the face is an important element …