The recent and rapid growth in Unmanned Aerial Vehicles (UAVs) deployment for various
computer vision tasks has paved the path for numerous opportunities to make them more …

Abstract Nowadays, Unmanned Aerial Vehicles (UAVs) have become useful for various civil
applications, such as traffic monitoring and smart parkings, where real-time vehicle detection …

Object detection is the key task for many Unmanned Aerial Vehicles (UAVs) tasks.
Compared with images captured from ground-based angles, images captured by UAVs are …

Target detection based on unmanned aerial vehicle (UAV) images has increasingly become
a hot topic with the rapid development of UAVs and related technologies. UAV aerial images …

Drones equipped with cameras are being used for surveillance purposes. These
surveillance systems need vision-based object detection of ground objects which look very …

Aerial images captured by Unmanned Aerial Vehicles (UAVs) often exhibit characteristics
such as high object density, small targets, and wide coverage, which lead to the occurrence …

The detailed, high-resolution images captured by drones pose challenges to target detection
algorithms with complex scenes and small-sized targets. Moreover, targets in unmanned …

To enhance aerial image detection in complex environments characterized by multiple small
targets and mutual occlusion, we propose an aerial target detection algorithm based on an …

Object detection in aerial images has been an active research area thanks to the vast
availability of unmanned aerial vehicles (UAVs). Along with the increase of computational …

This paper, we have improved the YOLOv6 object detection network to better detect high-
density, small target objects in UAV aerial images. First of all, we designed a mixed data …