The private and indiscriminate flying of low-altitude unmanned aerial vehicles (UAVs)
seriously violates human privacy and airspace traffic safety. In this work, we propose a low …

UAV tracking plays a crucial role in computer vision by enabling real-time monitoring UAVs,
enhancing safety and operational capabilities while expanding the potential applications of …

With the increasing use of Unmanned Aerial Vehicles (UAVs) in various fields, the
coordinated execution of tasks by multiple UAVs has become an important development …

Accurate identification of critical malicious drones is crucial for optimizing directed energy
attacks and maximizing their effectiveness. However, current studies on critical drone …

In recent years, unmanned aerial vehicles (UAVs) have been widely used in ocean target
tracking and image acquisition for processing. Due to the limited energy of the UAV and the …

Continuous trajectory tracking and movement estimation of microunmanned aerial vehicles
(UAVs) in sensitive areas intended for unauthorized intrusion prevention are challenging …

Tiny object detection is one of the key challenges in the field of object detection. The
performance of most generic detectors dramatically decreases in tiny object detection tasks …

Unmanned aerial vehicles (UAVs) are predicted to be widely used in both military and
civilian sectors in the coming years due to their high mobility, low cost, and enhancement of …

In addition to addressing issues commonly encountered in generic visual object tracking,
this task endeavors necessitates coping with the diminutive characteristics of infrared UAV …

We propose a lightweight, effective, and efficient anti-drone network, namely ADMNet, for
visually detecting and monitoring unfriendly drones with a constrained view field, flying …