The detection of road facilities or roadside structures is essential for high-definition (HD)
maps and intelligent transportation systems (ITSs). With the rapid development of deep …

The mining of open pit mines is widespread in China, and there are many cases of landslide
accidents. Therefore, the problem of slope stability is highlighted. The stability of the slope is …

The objective of robust object detection against multi-type corruption (MTC) is to improve
detection performance in various domains, including common risks in real-world …

Automatic traffic accidents detection has appealed to the machine vision community due to
its implications on the development of autonomous intelligent transportation systems (ITS) …

This review paper gives a comprehensive investigation of the energetic scene of object
detection, an essential field inside computer vision. Leveraging experiences from an …

In order to achieve the fine design of urban streets in the Internet of Things (IoT)
environment, this work proposes a semantic segmentation network based on improved …

Deep learning has achieved great successes in performing many visual recognition tasks,
including object detection. Nevertheless, existing deep networks are computationally …

Script identification is an essential preliminary step in multilingual OCR systems. This paper
focuses primarily on tackling the challenging problem of script identification in scene text …

Aiming at the problems of multiple parameters and poor detection accuracy of object
detection network in automatic driving scenarios, an object detection algorithm based on …

A wide variety of vehicles are moving on roads, and these vehicles are classified and
detected by intelligent traffic systems using object detection. Various traditional methods are …