Traffic sign detection has a wide range of applications. In the wild, the existing detectors are
difficult to balance the requirements for robustness, real time, and accuracy. In this paper, we …

Road traffic signs can improve the pressure of environmental traffic, and the real-time
accurate recognition of traffic signs is conducive to the promotion and development of …

Despite the promising development of Automatic Visual Inspection (AVI) in the
manufacturing industry, detecting small-sized defects with fewer pixels coverage remains a …

The timely and accurate identification of traffic signs plays a significant role in realizing the
autonomous driving of vehicles. However, the size of traffic signs accounts for a low …

Traffic sign detection, as an important part of intelligent driving, can effectively guide drivers
to regulate driving and reduce the occurrence of traffic accidents. Currently, the deep …

As a popular research direction in the field of intelligent transportation, various scholars
have widely concerned themselves with traffic sign detection However, there are still some …

Traffic sign detection is an essential part of traffic security and unmanned driving system.
Due to the changes in the traffic environment is complex, how to intelligently and efficiently …

Traffic sign detection is a challenging task. Although existing deep learning techniques have
made great progress in detecting traffic signs, there are still many unsolved challenges. We …

In the field of object detection, detecting small objects is an important and challenging task.
However, most existing methods tend to focus on designing complex network structures …

To solve the problem that existing traffic signs are not easily detected leading to low
detection performance due to their small sizes and external factors such as weather …