nyu-visionx/VSI-SUPER-Recall

VSI-SUPER-Recall Website | Paper | GitHub | Models Authors: Shusheng Yang*, Jihan Yang*, Pinzhi Huang†, Ellis Brown†, et al. VSI-SUPER-Recall is a benchmark for testing long-horizon spatial observation and recall in arbitrarily long videos. It evaluates whether models can remember and recall the order in which unusual objects appeared across extended video sequences. Overview VSI-SUPER-Recall challenges models to: Track object appearances across long videos… See the full description on the dataset page: https://huggingface.co/datasets/nyu-visionx/VSI-SUPER-Recall.