Panoptic Segmentation

Panoptic segmentation is a task in the field of computer vision that aims to combine semantic segmentation and instance segmentation to provide a comprehensive understanding of a scene. Its goal is to segment an image into parts or regions with semantic meaning and to detect and distinguish individual object instances within these regions. Each pixel is assigned a semantic label, and pixels belonging to "thing" classes (such as countable object instances) are given a unique instance ID.