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 …

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 …

Recently, automatic visual data understanding from drone platforms becomes highly
demanding. To facilitate the study, the Vision Meets Drone Object Detection in Image …

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 …

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

Unmanned aerial vehicles (UAVs) play an important role in conducting automatic patrol
inspections of cities, which can ensure the safety of urban residents' life and property and …

The ease of use and advancements in drone technology is resulting in the widespread
application of Unmanned Aerial Vehicles (UAVs) to diverse fields, making it a booming …

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 …

Occlusion between objects is one of the overlooked challenges for object detection in UAV
images. Due to the variable altitude and angle of UAVs, occlusion in UAV images happens …