Explore sequence-to-sequence video object segmentation through the YouTube-VOS dataset in this informative 24-minute lecture from the University of Central Florida. Delve into the intricacies of video object segmentation, examining various datasets with a focus on YouTube-VOS. Learn about the algorithm and implementation details, segmentation metrics, and experiments conducted on both YouTube-VOS and DAVIS datasets. Gain insights from an in-depth ablation study, enhancing your understanding of this cutting-edge computer vision technique.
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation