Open Vocabulary Panoptic Segmentation

"Open Vocabulary Panoptic Segmentation" is a computer vision technique aimed at identifying and segmenting all object categories in an image, not limited to the categories present in the training dataset. This technology combines instance segmentation and semantic segmentation to provide comprehensive labeling for every pixel in the image, thus offering richer and more accurate scene understanding. Its application value lies in the ability to handle objects of unknown categories, enhancing the model's generalization and adaptability, and it is widely used in fields such as autonomous driving, medical image analysis, and robotic vision.