While there has been significant progress in object detection using conventional image
processing and machine learning algorithms, exploring small and dim target detection in the …

Infrared remote sensing imaging plays a crucial role in military observation, nighttime
security surveillance, forest fire monitoring, and so on. In these applications, detecting dim …

Infrared small target detection faces the inherent challenge of precisely localizing dim
targets amidst complex background clutter. Traditional approaches struggle to balance …

In order to estimate bayberry yield, a lightweight bayberry target detection count model,
YOLOv7-CS, based on YOLOv7, was proposed to address the issues of slow detection and …

While there has been significant progress in object detection using conventional image
processing and machine learning algorithms, exploring small and dim target detection in the …

Infrared small target detection (ISTD) aims to segment small target pixels from infrared
images and has extensive applications in many fields. Despite multiple progress, challenges …

Eye health has become a significant concern in recent years, given the rising prevalence of
visual impairment resulting from various eye disorders and related factors. Global surveys …

Infrared sensing is a core method for supporting unmanned systems, such as autonomous
vehicles and drones. Recently, infrared sensors have been widely deployed on mobile and …

Visual surface defect detection is crucial for product quality control in the large-scale wood
manufacturing industry. This study focuses on how to assist the deep learning model in …

In the field of Infrared Small Target Detection (ISTD), deep unfolding-based techniques have
demonstrated significant efficacy. However, existing methods that utilize low-rank sparse …