Combining an object-detection algorithm with an unmanned aerial vehicle (UAV) can
accelerate the detection of road cracks. To address the difficulties of intricate crack …

Fish are indicative species with a relatively balanced ecosystem. Underwater target fish
detection is of great significance to fishery resource investigations. Traditional investigation …

Due to the limitations of small targets in remote sensing images, such as background noise,
poor information, and so on, the results of commonly used detection algorithms in small …

To meet the goals of computer vision-based understanding of images adopted in agriculture
for improved fruit production, it is expected of a recognition model to be robust against …

Oriented object detection (OOD) can more accurately locate objects with an arbitrary
direction in remote sensing images (RSIs) compared to horizontal object detection. The most …

Due to the dense distribution of tomato fruit with similar morphologies and colors, it is difficult
to recognize the maturity stages when the tomato fruit is harvested. In this study, a tomato …

Lung cancer is the most prevalent and deadly oncological disease in the world, but a timely
detection of lung nodules can greatly improve the survival rate of this disease. However, due …

Bounding box regression is a crucial step in most object detection algorithms, and directly
affects the positioning accuracy and regression speed of convolutional neural networks …

Target detection based on unmanned aerial vehicle (UAV) images has increasingly become
a hot topic with the rapid development of UAVs and related technologies. UAV aerial images …

Object detection in images captured by unmanned aerial vehicles (UAVs) holds great
potential in various domains, including civilian applications, urban planning, and disaster …