Object detection in uncrewed aerial vehicle (UAV) images has been a longstanding
challenge in the field of computer vision. Specifically, object detection in drone images is a …

Object detection in images collected by Unmanned Aerial Vehicles (UAVs) constitutes a
challenging task in computer vision, due to difficulties of learning a well-trained object …

Detecting objects in large-scale drone-view images is notoriously challenging due to their
uneven distribution and scale variation caused by photoing angles. Common approaches …

Recent years have shown a noticeable rise in the number of incidents with drones, related to
both civilian and military installations. While drone neutralization techniques have become …

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 …

Multi-category object detection in aerial images is an important task for many applications
such as surveillance, tracking or search and rescue tasks. In recent years, deep learning …

With the rapid development of object detection technology for unmanned aerial vehicles
(UAVs), it is convenient to collect data from UAV aerial photographs. They have a wide …

The number of unmanned aerial vehicles (UAVs, also known as drones) has increased
dramatically in the airspace worldwide for tasks such as surveillance, reconnaissance …

Unmanned aerial vehicle (UAV) image object detection has great application value in the
military and civilian fields. However, the objects in the captured images from UAVs have …

This paper proposes a novel approach to object detection on drone imagery, namely Multi-
Proxy Detection Network with Unified Foreground Packing (UFPMP-Det). To deal with the …