Single-frame infrared small target detection (SIRSTD) is in urgent demand for many practical
tasks, such as fire rescue and urban management systems, benefiting from the excellent …

The goal of remote sensing image (RSI) instance segmentation is to perform instance-level
semantic parsing of its contents. Aside from classifying and locating regions of interest (RoI) …

Detecting and tracking ships remotely is now required in a wide range of contexts, from
military security to illegal immigration control, as well as the management of fisheries and …

Synthetic aperture radar (SAR) routinely confronts the interference of radiofrequency
devices in normal missions, causing ineffective imaging and seriously affecting Earth …

In maritime scenes, instance segmentation of small object ships is of vital importance. Small
ship objects in images have the characteristics of smaller size, lower image cover rate and …

The segment anything model (SAM), a foundational model designed for promptable
segmentation tasks, demonstrates exceptional generalization capabilities, making it highly …

Facial skin condition is perceived as a vital indicator of the person's apparent age, perceived
beauty, and degree of health. Machine-learning-based software analytics on facial skin …

Synthetic aperture radar (SAR) ship detection especially for small ships has issues, such as
dense distribution of ships, interference from land and small islands. To address these …

The synthetic aperture radar (SAR) oriented ship detection is a more complex and finer task
than the horizontal, and it provides ship orientation for military and civilian applications, such …

The advancement of convolutional neural networks (CNNs) has greatly promoted the
development of ship detection in SAR images. Oriented ship detection is practical and …