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Evaluation of Vision Transformers for Traffic Sign Classification
2022
Wireless Communications and Mobile Computing
Traffic sign recognition is one of the most important tasks in autonomous driving. Camera-based computer vision techniques have been proposed for this task, and various convolutional neural network structures are used and validated with multiple open datasets. Recently, novel Transformer-based models have been proposed for various computer vision tasks and have achieved state-of-the-art performance, outperforming convolutional neural networks in several tasks. In this study, our goal is to
doi:10.1155/2022/3041117
fatcat:h746niz5bbfu5fsmqnwmjhkvfi