Object detection in drone-captured images is a popular task in recent years. As drones
always navigate at different altitudes, the object scale varies considerably, which burdens …

Unmanned aerial vehicles (UAVs) have gained significant attention in practical applications,
especially the low-altitude aerial (LAA) object detection imposes stringent requirements on …

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 …

Object detection in aerial images is a challenging task for two main reasons: small object
and scale variation. Existing methods utilize multilevel features to solve the scale variation …

Workplace accidents are on the rise, and the construction and manufacturing sectors
account for more than half of all fatalities. In the construction and industrial sectors, most fatal …

In smart cities, effective traffic congestion management hinges on adept pedestrian and
vehicle detection. Unmanned Aerial Vehicles (UAVs) offer a solution with mobility, cost …

Distinguishing between computer-generated (CG) and natural photographic (PG) images is
of great importance to verify the authenticity and originality of digital images. However, the …

车道线检测任务包含道路磨损, 阴影遮挡和弯道等困难样本, 这些样本中线条信息均有不同程度
的缺失, 使检测结果出现漏检或误检现象. 基于深度学习的检测方案通过卷积操作提取特征信息 …

The quality of remote sensing images has been greatly improved by the rapid improvement
of unmanned aerial vehicles (UAVs), which has made it possible to detect small objects in …

The targets of UAV target detection are usually small targets, and the backgrounds are
complex. In this work, aiming at the problem that small targets are easy to be missed or …