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 …

Learning-based infrared small object detection methods currently rely heavily on the
classification backbone network. This tends to result in tiny object loss and feature …

Infrared small target detection plays an important role in military and civilian fields while it is
difficult to be solved by deep learning (DL) technologies due to scarcity of data and strong …

Infrared small target detection techniques remain a challenging task due to the complex
background. To overcome this problem, by exploring context information, this research …

Recently infrared small target detection (IRSTD) has been dominated by deep-learning-
based methods. However these methods mainly focus on the design of complex model …

Training a convolutional neural network (CNN) to detect infrared small targets in a fully
supervised manner has gained remarkable research interests in recent years, but is highly …

The detection of small infrared targets with low signal-to-noise ratios (SNRs) and contrasts in
noisy and cluttered backgrounds is challenging and therefore a domain of active research …

Space-based infrared tiny ship detection aims at separating tiny ships from the images
captured by Earth-orbiting satellites. Due to the extremely large image coverage area (eg …

Infrared Small Target Detection (IRSTD) refers to detecting faint targets in infrared images,
which has achieved notable progress with the advent of deep learning. However, the drive …

Recently, infrared small-target detection (ISTD) has made significant progress, thanks to the
development of basic models. Specifically, the models combining CNNs with Transformers …