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 …

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 …

Insulators are an important part of transmission lines; failure may threaten the operation of
these transmission lines. For insulator defect detection, an optical image detection method …

Tumor-infiltrating lymphocytes, specialized immune cells, are considered an important
biomarker in cancer analysis. Automated lymphocyte detection is challenging due to its …

Object identification is a part of the field of computer science, namely, image processing,
whose research continues to innovate. Object identification describes an object based on …

Pedestrian detection technology, combined with techniques such as pedestrian tracking and
behavior analysis, can be widely applied in fields closely related to people's lives such as …

For the ill-posed tensor completion (TC) problem, how to appropriately explore the hidden
information is a pivotal yet challenging issue. Two well-known priors have been intensively …

Since small‐target pedestrians account for a small proportion of pixels in images and lack
texture features, the feature information of small‐target pedestrians is often ignored in the …

Many venues, such as airports, railway stations, and shopping malls, have video
surveillance systems for security and monitoring. However, searching for and retrieving …

At present, pedestrian detection is widely applied to autonomous driving and intelligent
transportation and robots, etc. But the balance between accuracy and speed is still not …