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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التفاصيل البيبلوغرافية
الحاوية / القاعدة:	2024 IEEE 14TH SYMPOSIUM ON COMPUTER APPLICATIONS & INDUSTRIAL ELECTRONICS, ISCAIE 2024
المؤلفون الرئيسيون:	Azmi, Muhammad Muizuddin Bin Mohamad; Zaman, Fadhlan Hafizhelmi Kamaru
التنسيق:	Proceedings Paper
اللغة:	English
منشور في:	IEEE 2024
الموضوعات:	Computer Science; Engineering
الوصول للمادة أونلاين:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001283898700030

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