Abstract: Semantic segmentation of remote sensing images aims to assign semantic labels to each pixel in the image, serving as a key technology for achieving precise ground object interpretation.

Abstract: Medical image segmentation is essential for computer-assisted diagnosis since it allows exact extraction of anatomical structures from CT/MRI data. Traditional approaches struggle to handle ...

OpenWorldSAM pushes the boundaries of SAM2 by enabling open-vocabulary segmentation with flexible language prompts. [2026-1-4]: Demo release: we’ve added simple demos to run OpenWorldSAM on images ...

Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...