Driver Drowsiness Detection Using Vision Transformer
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58181-6_37
Reference10 articles.
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2. Dosovitskiy, A., et al.: An image is worth 16$$\,times\,$$16 words: transformers for image recognition at scale (2020). https://doi.org/10.48550/ARXIV.2010.11929
3. Ghoddoosian, R., Galib, M., Athitsos, V.: A realistic dataset and baseline temporal model for early drowsiness detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (2019)
4. Kang, N., et al.: Driver drowsiness detection based on 3d convolution neural network with optimized window size. In: 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), pp. 425–428 (2022). https://doi.org/10.1109/ICTC55196.2022.9952988
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