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...
| 出版年: | 2024 IEEE 14TH SYMPOSIUM ON COMPUTER APPLICATIONS & INDUSTRIAL ELECTRONICS, ISCAIE 2024 |
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| 主要な著者: | , , |
| フォーマット: | Proceedings Paper |
| 言語: | English |
| 出版事項: |
IEEE
2024
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| 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 |