PyTorch

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 […]