YOLO has become a central real-time object detection system for robotics, driverless cars,
and video monitoring applications. We present a comprehensive analysis of YOLO's …

Object detection is one of the most fundamental and challenging tasks to locate objects in
images and videos. Over the past, it has gained much attention to do more research on …

In real life, object detection is widely applied and plays a significant part in the field of
computer vision. However, when detecting small objects, the advanced You Only Look Once …

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 …

Ground penetrating radar (GPR) has been prevailingly applied in nondestructive testing of
internal distresses within asphalt pavement. However, the interpretation of abnormal echo …

Accurate and timely landslide mapping plays a critical role in emergency response and long-
term land use planning. Deep learning–based methods represented by convolutional neural …

It is well-established that contact fire sensors are susceptible to interference from non-fire
particles and cannot be applied to fire alarms in both large indoor and outdoor open spaces …

To solve problems for false detection, inadequate regression performance of anchor frames,
and the inability to detect small targets in traditional multiscale target detection methods …

Abstract Object detection in Unmanned Aerial Vehicles (UAV) optical remote sensing
imagery presents a formidable challenge in computer vision due to the minuscule size of …

The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …