Universal Segmentation

Universal segmentation is a challenging task in computer vision, aiming to partition images into semantic regions regardless of the specific task or domain. This task requires models to learn a broad range of visual concepts and possess the ability to generalize to new tasks and domains, thereby achieving accurate image understanding and analysis in diverse application scenarios.