Knowledge distillation (KD) is a well-established technique for compressing neural networks
and has gained increasing attention in object detection tasks. However, typical object …

This study proposed a model for highway accident detection that combines the You Only
Look Once v3 (YOLOv3) object detection algorithm and Canny edge detection algorithm. It …

Over the last decades, the famous deep-learning framework of 'You Only Look Once'–YOLO
for object detection has gasped important interest due to its vital performance for object …

This paper introduces a lightweight approach for detecting distant aerial targets using
onboard camera mounted on unmanned aerial vehicle (UAV). Building upon YOLOv8, we …

UAV detection is an important problem in sensitive areas involving security and privacy. This
paper proposes an interpretable lightweight model designed explicitly for the real-time …

The object detection algorithm YOLOv5, which is based on deep learning, experiences
inefficiencies due to an overabundance of model parameters and an overly complex …

Computer vision, particularly vehicle and pedestrian identification is critical to the evolution
of autonomous driving, artificial intelligence, and video surveillance. Current traffic …

Due to the rapid growth of vehicles, traffic monitoring and tracking systems in the last
decade, vehicle detection and extracting information such as vehicle type and model and …

Ambulances, fire trucks, and police cars are essential in each town. These vehicles are
designed and furnished with the equipment required to respond quickly to emergencies and …

Object detection in unmanned aerial vehicle (UAV) images is an extremely challenging task
and involves problems such as multi-scale objects, a high proportion of small objects, and …