Driver Drowsiness Detection Using Vision Transformer

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Driver Drowsiness Detection Using Vision Transformer

This work explores the capability of the new neural network architecture called Vision Transformer (ViT) in addressing prevalent issue of road accidents attributed to drowsy driving. The development of the ViT model involves the use of a pre-trained ViT_B_16 model with initial weight from IMAGENET1K...

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Bibliographic Details
Published in:	2024 IEEE 14TH SYMPOSIUM ON COMPUTER APPLICATIONS & INDUSTRIAL ELECTRONICS, ISCAIE 2024
Main Authors:	Azmi, Muhammad Muizuddin Bin Mohamad; Zaman, Fadhlan Hafizhelmi Kamaru
Format:	Proceedings Paper
Language:	English
Published:	IEEE 2024
Subjects:	Computer Science; Engineering
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001283898700030

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