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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書目詳細資料
發表在:2024 IEEE 14TH SYMPOSIUM ON COMPUTER APPLICATIONS & INDUSTRIAL ELECTRONICS, ISCAIE 2024
Main Authors: Azmi, Muhammad Muizuddin Bin Mohamad; Zaman, Fadhlan Hafizhelmi Kamaru
格式: Proceedings Paper
語言:English
出版: IEEE 2024
主題:
在線閱讀:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001283898700030