Learning Discriminant Spatial Features With Deep Graph-Based Convolutions for Occluded Face Detection

Learning Discriminant Spatial Features With Deep Graph-Based Convolutions for Occluded Face Detection

The use of face masks has become a widespread non-pharmaceutical practice to mitigate the transmission of COVID-19. However, achieving accurate facial detection while people wear masks or similar face occlusions is a major challenge. This paper introduces a model to detect occluded or masked faces b...

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Bibliographic Details
Main Authors: Firas Albalas, Ahmad Alzu'bi, Alanoud Alguzo, Tawfik Al-Hadhrami, Achraf Othman
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Correlation graphs
deep learning
distance graph
graph convolutional networks
face mask
occluded face detection
Online Access:https://ieeexplore.ieee.org/document/9745090/

Internet

https://ieeexplore.ieee.org/document/9745090/

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