Object detection is a critical and complex problem in computer vision, and deep neural
networks have significantly enhanced their performance in the last decade. There are two …

This paper presents a comprehensive evaluation of YOLO architectures for smoke and
wildfire detection, including YOLOv5, YOLOv6, YOLOv7, YOLOv8, and YOLO-NAS. We aim …

As self-driving vehicles become more prevalent, the speed and accuracy of detecting
surrounding objects through onboard sensing technology have become increasingly …

The article presents a comprehensive summary of Intelligent Ship Marine Object Detection
(ISMOD) based on the RGB Camera. Marine object detection plays a pivotal role in enabling …

The objective of human pose estimation (HPE) derived from deep learning aims to
accurately estimate and predict the human body posture in images or videos via the …

Tunnel maintenance is essential for ensuring the safety and health of urban transportation
systems. However, traditional inspection methods are labor-intensive, time-consuming, and …

Abstract Automated Foreign Object Debris (FOD) detection offers significant benefit to the
aviation industry by reducing human error and enabling continuous surveillance. This paper …

This study addresses the evolving challenges in urban traffic monitoring detection systems
based on fisheye lens cameras by proposing a framework that improves the efficacy and …

Fruits and vegetables (especially, tomatoes) healthy detection are important tasks for smart
agriculture. Several works have been published in tomato detection, however, there is little …

In industrial production, the steel surface may incur different defects owing to the influence of
external factors, thereby affecting the performance of steel. With the increasing requirements …