Robust infrared small target detection using self-supervised and a
contrario paradigms
Robust infrared small target detection using self-supervised and a
contrario paradigms
Detecting small targets in infrared images poses significant challenges in defense applications due to the presence of complex backgrounds and the small size of the targets. Traditional object detection methods often struggle to balance high detection rates with low false alarm rates, especially when dealing with small objects. In this …