Video Semantic Segmentation

Video semantic segmentation is an advanced task in the field of computer vision, aiming to assign predefined category labels to each pixel of every frame in a video. This task not only requires the model to predict accurate segmentation masks but also ensures the consistency of these masks over the sequence of frames. Video semantic segmentation has significant application value in various fields such as autonomous driving, medical video analysis, and augmented reality.