Deep learning-based object detection solutions emerged from computer vision has
captivated full attention in recent years. The growing UAV market trends and interest in …

This study concentrates on deep learning-based lightweight object detection models on
edge devices. Designing such lightweight object recognition models is more difficult than …

Object detection on drone-captured scenarios is a recent popular task. As drones always
navigate in different altitudes, the object scale varies violently, which burdens the …

Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …

Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …

Despite recent advances, object detection in aerial images is still a challenging task.
Specific problems in aerial images makes the detection problem harder, such as small …

The low-altitude aerial objects are hard to detect by existing deep learning-based object
detectors because of the scale variance, small size, and occlusion-related problems. Deep …

Detecting the objects of interesting from aerial images captured by UAVs is one of the core
modules in the UAV-based applications. However, it is very difficult to detection objects from …

Recent advances in camera-equipped drone applications increased the demand for visual
object detection algorithms with deep learning for aerial images. There are several …

Abstract Object detection on Unmanned Aerial Vehicles (UAVs) is still a challenging task.
The recordings are mostly sparse and contain only small objects. In this work, we propose a …