Abstract The recent Segment Anything Model (SAM) represents a big leap in scaling up
segmentation models, allowing for powerful zero-shot capabilities and flexible prompting …

The goal of interactive image segmentation is to delineate specific regions within an image
via visual or language prompts. Low-latency and high-quality interactive segmentation with …

The main difficulties in semantic segmentation of remote sensing images include the effect
of shadows, the blurring of feature differences between categories, and loss of small-scale …

Pixel-level information of remote sensing images is of great value in many fields. CNN has a
strong ability to extract image backbone features, but due to the localization of convolution …

Panoptic segmentation is one of the most challenging scene parsing tasks, combining the
tasks of semantic segmentation and instance segmentation. While much progress has been …

Panoptic segmentation is a challenging perception task, which can help robots to
comprehensively perceive the surrounding environment. In the task, we notice that semantic …

Om de voordelen van autonome mobiele robots volledig te kunnen benutten, moeten zulke
robots in staat zijn om hun omgeving waar te nemen en te begrijpen. Dit kan worden bereikt …