A research team has introduced DepthCropSeg, a powerful, depth-informed crop segmentation approach that achieves near-supervised performance without ...

The Segment Anything Model (SAM) is a large general segmentation model proposed by Meta, which has shown amazing performance in many natural image segmentation tasks. Recently, MA-SAM has been ...

Although significant advances have been made in the semantic segmentation of high-resolution remote sensing (RS) images, obtaining accurate pixelwise annotations remains resource-intensive. We propose ...