Uncrewed aerial vehicle (UAV) aerial photography technology is widely used in both
industrial and military sectors, but remote sensing for small target detection still faces several …

Due to the limited semantic information extraction with small objects and difficulty in
distinguishing similar targets, it brings great challenges to target detection in remote sensing …

The use of object detection technology in unmanned aerial vehicles is a crucial area of
research in computer vision. Aerial images captured by drones exhibit differences in object …

Aiming at improving the efficiency and accuracy of the target detection for UAV aerial images
especially the small targets, an improved YOLOv5 method is proposed. Based on the …

In drone aerial target detection tasks, a high proportion of small targets and complex
backgrounds often lead to false positives and missed detections, resulting in low detection …

To address the poor accuracy issue with tiny target recognition by UAVs, this study provides
an improved YOLOv5 detection method with an attention mechanism. Firstly, CBAM is …

In response to the challenges posed by small objects in remote sensing images, such as low
resolution, complex backgrounds, and severe occlusions, this paper proposes a lightweight …

The small and dense objects in unmanned aerial vehicle (UAV) images deteriorate the
detection accuracy of neural networks. This article proposed an improved YOLOv5-based …

Aiming at the characteristics of remote sensing images such as a complex background, a
large number of small targets, and various target scales, this paper presents a remote …

An improved YOLOv8s-based method is proposed to address the challenge of accurately
recognizing tiny objects in remote sensing images during practical human-computer …