Object detection in UAV image processing has gradually become a hot research topic in
recent years. The performance of general object detection algorithms tends to degrade …

Object detection, a crucial aspect of computer vision, has seen significant advancements in
accuracy and robustness. Despite these advancements, practical applications still face …

YOLOX is a state-of-the-art one-stage object detection model for real-time applications that
employs a decoupled head and advanced label assignment. Despite its impressive …

With the development of science and technology, the traditional industrial structures are
constantly being upgraded. As far as drones are concerned, an increasing number of …

In this report, we present a fast and accurate object detection method dubbed DAMO-YOLO,
which achieves higher performance than the state-of-the-art YOLO series. DAMO-YOLO is …

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 …

There are several difficulties in the task of object detection for Unmanned Aerial Vehicle
(UAV) photography images, including the small size of objects, densely distributed objects …

In this paper, we focus on vehicle detection algorithms from UAV images in intelligent
transportation applications. We propose an improved YOLOX model called CCHYOLOX for …

Unmanned aerial vehicles (UAVs) have been applied to inspect in various scenarios due to
their high efficiency, low cost, and excellent mobility. However, the objects in aerial images …

Remote sensing image target object detection and recognition are widely used both in
military and civil fields. There are many models proposed for this purpose, but their …