Video Panoptic Segmentation

Video Panoptic Segmentation is a computer vision task that extends traditional panoptic segmentation by introducing a temporal dimension. Its goal is to predict the semantic category of each pixel in a video sequence and to consistently track object instances, ensuring that pixels belonging to the same object instance have the same instance ID throughout the video sequence. This task holds significant application value in areas such as dynamic scene understanding, autonomous driving, and video surveillance.