Open-Vocabulary Panoramic Semantic Segmentation

Open-Vocabulary Panoramic Semantic Segmentation is an advanced computer vision technique aimed at classifying every pixel in an image while identifying and segmenting all visible objects, regardless of whether these objects belong to predefined categories. By combining open vocabulary and panoramic segmentation, this technology achieves a comprehensive understanding of complex scenes, enhancing applications in areas such as autonomous driving, robotic navigation, and intelligent surveillance.