With the decrease in the cost and size of drones in recent years, their number has also
increased exponentially. As such, the concerns regarding security aspects that are raised by …

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

In LiDAR-based 3D object detection for autonomous driving, the ratio of the object size to
input scene size is significantly smaller compared to 2D detection cases. Overlooking this …

In this paper, we formally address universal object detection, which aims to detect every
scene and predict every category. The dependence on human annotations, the limited …

The prevailing applications of Unmanned Aerial Vehicles (UAVs) in transportation systems
promote the development of object detection methods to collect real-time traffic information …

While general object detection with deep learning has achieved great success in the past
few years, the performance and efficiency of detecting small objects are far from satisfactory …

Object detection on the drone faces a great diversity of challenges such as small object
inference, background clutter and wide viewpoint. In contrast to traditional detection problem …

This paper presents a comprehensive survey on anti-drone systems. After drones were
released for non-military usages, drone incidents in the unarmed population are gradually …

Detecting tiny objects is one of the main obstacles hindering the development of object
detection. The performance of generic object detectors tends to drastically deteriorate on tiny …

Drones, or general UAVs, equipped with cameras have been fast deployed with a wide
range of applications, including agriculture, aerial photography, and surveillance …