Review paper
Cropping and attention based approach for masked face recognition
Abstract
The global epidemic of COVID-19 makes people realize that wearing a mask is one of the most effective ways to protect ourselves from virus infections, which poses serious challenges for the existing face recognition system. To tackle the difficulties, a new method for masked face recognition is proposed by integrating a cropping-based approach with the Convolutional Block Attention Module (CBAM). The optimal cropping is explored for each case,...
Paper Details
Title
Cropping and attention based approach for masked face recognition
Published Date
Feb 1, 2021
Journal
Volume
51
Issue
5
Pages
3012 - 3025
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