Semi Supervised Video Object Segmentation

Semi-Supervised Video Object Segmentation is a crucial task in the field of computer vision, with its core lying in the user providing a full mask of the object of interest in the first frame of a video sequence, and the algorithm needing to generate segmentation masks for that object in subsequent frames. This task aims to achieve efficient and accurate video object tracking and segmentation through a small amount of labeled data, and it has extensive application value, such as in video editing, object detection, and scene understanding.