DVIS++ (Decoupled Framework for Universal Video Segmentation)

Introduction Video segmentation has become increasingly critical in computer vision applications, from autonomous driving to video editing and surveillance systems. However, existing approaches struggle with a fundamental challenge: how to accurately track and segment objects across long, complex videos while simultaneously identifying both foreground “things” (like people and cars) and background “stuff” (like roads and […]