Detecting small or tiny objects is always a difficult and challenging issue in computer vision.
In this paper, we provide a latest and comprehensive survey of deep learning-based …

Workplace safety accidents are a pervasive issue worldwide. According to the National Work
Safety Supervision Administration, a striking 67.95% of construction accidents occur due to …

With the rise of deep convolutional neural networks, object detection has achieved
prominent advances in past years. However, such prosperity could not camouflage the …

Unmanned aerial vehicles (UAVs) equipped with lightweight sensors, such as RGB cameras
and LiDAR, have significant potential in precision agriculture, including object detection …

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 …

Since surface defect detection is significant to ensure the utility, integrality, and security of
productions, and it has become a key issue to control the quality of industrial products, which …

Bolt defect inspection is an important work in transmission line inspection. Due to the small
size of bolts in the transmission line inspection images, existing algorithms are difficult to …

Recent deep learning-based object detectors have shown compelling performance for the
detection of large objects in autonomous driving applications. However, the detection of …

As a fundamental element of the traffic system, traffic signs reduce the risk of accidents by
providing essential information about the road condition to drivers, pedestrians, etc. With the …

Surface defect detection for the printed circuit board (PCB) is essential in PCB
manufacturing. Existing defect detection networks have several problems: low detection …