Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Abstract “Unmanned aerial vehicles”(UAVs) are now being used for a wide range of
surveillance applications. Specifically, the detection of on-ground vehicles from UAV images …

Due to the increasing capability of drones and requirements to monitor remote areas, drone
surveillance is becoming popular. In case of natural disaster, it can scan the wide affected …

Detecting objects in aerial images is challenging for at least two reasons:(1) target objects
like pedestrians are very small in pixels, making them hardly distinguished from surrounding …

Vehicle detection from unmanned aerial vehicle (UAV) imagery is one of the most important
tasks in a large number of computer vision-based applications. This crucial task needed to …

Detection of arbitrarily rotated objects is a challenging task due to the difficulties of locating
the multi-angle objects and separating them effectively from the background. The existing …

Object detectors have improved in recent years, obtaining better results and faster inference
time. However, small object detection is still a problem that has not yet a definitive solution …

Drone deployment has become crucial in a variety of applications, including solutions to
traffic issues in metropolitan areas and highways. On the other hand, data collected via …

The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many
applications fields. Most investigated research topics focus on increasing autonomy during …

Significant advancements and progress made in recent computer vision research enable
more effective processing of various objects in high-resolution overhead imagery obtained …