Masked Faces Classification using Deep Convolutional Neural Network with VGG-16 Architecture-Reference-Cited by-同舟云学术

Masked Faces Classification using Deep Convolutional Neural Network with VGG-16 Architecture

Published:2022-10-19 Issue: Volume: Page:
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Container-title:2022 3rd International Conference on Electrical Engineering and Informatics (ICon EEI)
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Author:

Tolulope Ibitoye Oladapo¹,Oluwole Osaloni Oluwafunso¹

Affiliation:

1. Afe Babalola University,Department of Electrical/Electronics and Computer Engineering,Ado Ekiti,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9971790/9972246/09972288.pdf?arnumber=9972288

Reference32 articles.

1. How to Correctly Detect Face-Masks for COVID-19 from Visual Information?

2. Deep Face Recognition: A Survey;wang;Neurocomputing,2020

3. Detection of 3D Mask in 2D Face Recognition System Using DWT and LBP

4. Detecting Masked Faces in the Wild with LLE-CNNs

5. Fighting Against COVID-19: A Novel Deep Learning Model Based on YOLOv2 with ResNet-50 for Medical Face Mask Detection;loey;SustainableCities and Society,2020

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