Video Object Segmentation

Video object segmentation is an important sub-task in the field of computer vision, aiming to separate foreground objects from background regions in videos through binary labels. The goal of this task is to accurately identify and extract objects of interest in video sequences to enable efficient target tracking, interaction, and analysis in various application scenarios. Video object segmentation has significant application value in areas such as autonomous driving, video editing, and augmented reality.