VideoCube is a high-quality and large-scale benchmark to create a challenging real-world experimental environment for Global Instance Tracking (GIT). MGIT is a high-quality and multi-modal benchmark based on VideoCube-Tiny to fully represent the complex spatio-temporal and causal relationships coupled in longer narrative content.
Variants: VideoCube
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
---|---|---|---|
Visual Object Tracking | RTracker-L | RTracker: Recoverable Tracking via PN … | 2024-03-28 |
Recent papers with results on this dataset: