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...

詳細記述

書誌詳細
出版年:2024 IEEE 14TH SYMPOSIUM ON COMPUTER APPLICATIONS & INDUSTRIAL ELECTRONICS, ISCAIE 2024
主要な著者: Azmi, Muhammad Muizuddin Bin Mohamad; Zaman, Fadhlan Hafizhelmi Kamaru
フォーマット: Proceedings Paper
言語:English
出版事項: IEEE 2024
主題:
オンライン・アクセス:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001283898700030

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