In crowded pedestrian detection, occlusion situations are common challenges that seriously
impact detection performance. These occlusions are usually classified into pedestrian-to …

Pedestrian detection plays an important role in realistic applications. However, heavily
occluded pedestrians, with their incomplete and unusual appearances, are easily missed …

In the realm of intelligent transportation, pedestrian detection has witnessed significant
advancements. However, it continues to grapple with challenging issues, notably the …

Pedestrian detection is widely used nowadays in several applications like Robotics, Security
systems and autonomous driving systems. Pedestrian detection is a rapidly advancing field …

Object recognition is a crucial step in perception systems for autonomous and intelligent
vehicles, as evidenced by the numerous research works in the topic. In this paper, object …

In complex environments and crowded pedestrian scenes, the overlap or loss of local
features is a pressing issue. However, existing methods often struggle to strike a balance …

Deep-learning-based object detection has gained widespread application in surface defect
detection, with the anchor-based detector notably showcasing remarkable success …