Efficient Vision Transformer for Accurate Traffic Sign Detection

The paper discusses the challenges of traffic sign detection in autonomous vehicles and driver assistance systems. The authors propose a novel strategy utilizing Vision Transformers, which have shown success in autonomous driving, object detection, and other fields. The research introduces the Efficient Convolution Block and the Local Transformer Block to improve detection speed and accuracy. Experimental evaluations demonstrate significant advancements, particularly when applied to the GTSDB dataset.

Publication date: 3 Nov 2023
Project Page: N/A
Paper: https://arxiv.org/pdf/2311.01429