Fast and robust small target detection is one of the key technologies in the infrared (IR)
search and tracking systems. With the development of deep learning, there are many data …

Infrared dim-small target detection, as an important branch of object detection, has been
attracting research attention in recent decades. Its challenges mainly lie in the small target …

Most background suppression algorithms are weakly robust due to the complexity and
fluctuation of the star image's background. In this paper, a background suppression …

Infrared dim and small target detection has significant research value and application
prospects in both military affairs and civil safety scenes. This topic presents substantial …

Accurate and robust drone detection is an important and challenging task. However, on this
issue, previous research, whether based on appearance or motion features, has not yet …

As an important research branch of infrared small target detection, dense target detection
(eg, drone swarm detection) has always been a topic worth exploring. Currently, existing …

In ground-based infrared optical remote sensing systems, the target signal is very weak due
to the dynamic strong light background and the movement of dim and small targets. To …

The detection of moving infrared dim-small targets has been a challenging and prevalent
research topic. The current state-of-the-art methods are mainly based on ConvLSTM to …

Infrared small target detection (IRSTD) is the process of separating targets from complex and
blurry backgrounds, with wide applications in rescue, maritime guidance, and other fields …

In order to reduce the influence of strong halo effect on dim small target detection in daytime,
a dim small target detection algorithm based on spiral gradient optimization estimation and …