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Deep learning for iris recognition: A survey
In this survey, we provide a comprehensive review of more than 200 articles, technical
reports, and GitHub repositories published over the last 10 years on the recent …
reports, and GitHub repositories published over the last 10 years on the recent …
Applications of artificial intelligence, machine learning, and deep learning on facial plastic surgeries
E Tokgöz, MA Carro - Cosmetic and reconstructive facial plastic surgery: A …, 2023 - Springer
Applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL)
started to gain popularity in plastic surgical procedure analysis and predictive work with …
started to gain popularity in plastic surgical procedure analysis and predictive work with …
[HTML][HTML] Facial recognition system for people with and without face mask in times of the covid-19 pandemic
In the face of the COVID-19 pandemic, the World Health Organization (WHO) declared the
use of a face mask as a mandatory biosafety measure. This has caused problems in current …
use of a face mask as a mandatory biosafety measure. This has caused problems in current …
Masked face age and gender identification using CAFFE-modified MobileNetV2 on photo and real-time video images by transfer learning and deep learning …
One of the most challenging factors related to masked face age and gender identification
(MFAGI) is develo** a technique to quickly carry out identification and maintain accuracy …
(MFAGI) is develo** a technique to quickly carry out identification and maintain accuracy …
[HTML][HTML] IoT solutions and AI-based frameworks for masked-face and face recognition to fight the COVID-19 pandemic
A global health emergency resulted from the COVID-19 epidemic. Image recognition
techniques are a useful tool for limiting the spread of the pandemic; indeed, the World …
techniques are a useful tool for limiting the spread of the pandemic; indeed, the World …
[HTML][HTML] E2F-Net: Eyes-to-face inpainting via StyleGAN latent space
Face inpainting, the technique of restoring missing or damaged regions in facial images, is
pivotal for applications like face recognition in occluded scenarios and image analysis with …
pivotal for applications like face recognition in occluded scenarios and image analysis with …
Gender recognition in masked facial images using EfficientNet and transfer learning approach
The rapid advancement of Artificial Intelligence (AI) technology has enabled diverse systems
to leverage individual characteristics to enhance their functionality. Among these attributes …
to leverage individual characteristics to enhance their functionality. Among these attributes …
Benchmarking neural network compression techniques for ocular-based user authentication on smartphones
With the unprecedented mobile technology revolution, mobile devices have transcended
from being the primary means of communication to an all-in-one platform. Consequently, an …
from being the primary means of communication to an all-in-one platform. Consequently, an …
Improving Accuracy of Face Recognition in the Era of Mask-Wearing: An Evaluation of a Pareto-Optimized FaceNet Model with Data Preprocessing Techniques
D Akingbesote, Y Zhan, R Maskeliūnas… - Algorithms, 2023 - mdpi.com
The paper presents an evaluation of a Pareto-optimized FaceNet model with data
preprocessing techniques to improve the accuracy of face recognition in the era of mask …
preprocessing techniques to improve the accuracy of face recognition in the era of mask …
E2F-GAN: Eyes-to-face inpainting via edge-aware coarse-to-fine GANs
Face inpainting is a challenging task aiming to fill the damaged or masked regions in face
images with plausibly synthesized contents. Based on the given information, the …
images with plausibly synthesized contents. Based on the given information, the …