In recent years, with the rapid development of deep learning and its outstanding capabilities
in target detection, innovative methods have been introduced for infrared dim small target …

In this paper, we briefly summarize the first competition on resource-limited infrared small
target detection (namely, LimitIRSTD). This competition has two tracks, including weakly …

Recently, deep learning-based single-frame infrared small target (SIRST) detection
technology has made significant progress. However, existing infrared small target detection …

Infrared ship detection (IRSD) is crucial for numerous applications but faces challenges,
such as small targets and complex backgrounds, resulting in misdetections and false …

The images captured by unmanned aerial vehicles (UAVs) are often limited in scale and
feature information, making it challenging for current detection algorithms to learn the …

Limited by equipment limitations and the lack of target intrinsic features, existing infrared
small target detection methods have difficulty meeting actual comprehensive performance …

In this paper, we briefly summarize the first competition on resource-limited infrared small
target detection (namely, LimitIRSTD). This competition has two tracks, including weakly …

Recently, infrared small target detection with single-point supervision has attracted
extensive attention. However, the detection accuracy of existing methods has difficulty …

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 …

In general, the small target is small in scale and occupies only a small portion of a remote
sensing image (RSI). Unlike large-or medium-sized objects, the small targets usually do not …