Vision systems to see and reason about the compositional nature of visual scenes are
fundamental to understanding our world. The complex relations between objects and their …

After the revival of deep learning in computer vision in 2012, SAR ship detection comes into
the deep learning era too. The deep learning-based computer vision algorithms can work in …

Leveraging the extensive training data from SA-1B, the segment anything model (SAM)
demonstrates remarkable generalization and zero-shot capabilities. However, as a category …

Synthetic aperture radar (SAR) satellites can provide microwave remote sensing images
without weather and light constraints, so they are widely applied in the maritime monitoring …

Synthetic aperture radar (SAR) is playing an important role in maritime domain awareness.
As a fundamental ocean mission, SAR ship detection can offer high-quality services for …

Synthetic-aperture radar (SAR) image target detection is widely used in military, civilian and
other fields. However, existing detection methods have low accuracy due to the limitations …

Recently, deep learning techniques have been extensively used to detect ships in synthetic
aperture radar (SAR) images. The majority of modern algorithms can achieve successful …

Ship detection from synthetic aperture radar (SAR) remote sensing images is essential for
monitoring water traffic and marine safety. Numerous methods for ship detection have been …

Most of the existing synthetic aperture radar (SAR) ship instance segmentation models do
not achieve mask interaction or offer limited interaction performance. Besides, their …

Due to the advantages of all-weather capability and high resolution, synthetic aperture radar
(SAR) image ship detection has been widely applied in the military, civilian, and other …