{"url":"/dataset/hr-shanghaitech","name":"HR-ShanghaiTech","full_name":null,"description_markdown":"The human-Related version of the ShanghaiTech Campus, was first presented by Morais et al. in the paper \"Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos\".","description_withheld":null,"homepage":"","introduced_date":"2019-03-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-regularity-in-skeleton-trajectories","title":"Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos","first_author":"Romero Morais","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Video Anomaly Detection","url":"/task/video-anomaly-detection","datasets_with_task":"/datasets/task/video-anomaly-detection"}],"languages":[],"variants":["HR-ShanghaiTech"],"data_loaders":[],"num_papers_in_archive":14,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/video-anomaly-detection-on-hr-shanghaitech","task":"Video Anomaly Detection","dataset_variant":"HR-ShanghaiTech","rows":14,"metrics":["AUC"],"first_row_in_archive_order":{"model":"PoseWatch-H","paper":"/paper/posewatch-a-transformer-based-architecture","metrics":{"AUC":"87.23"},"code_links":[{"title":"TeCSAR-UNCC/SPARTA","url":"https://github.com/TeCSAR-UNCC/SPARTA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/posewatch-a-transformer-based-architecture","title":"PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization","date":"2024-08-27","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/an-exploratory-study-on-human-centric-video","title":"An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction","date":"2024-04-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/holistic-representation-learning-for","title":"Holistic Representation Learning for Multitask Trajectory Anomaly Detection","date":"2023-11-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multimodal-motion-conditioned-diffusion-model","title":"Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection","date":"2023-07-14","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":8,"samples_ran":6,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/contracting-skeletal-kinematic-embeddings-for","title":"Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection","date":"2023-01-23","rows_on_this_dataset":3,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":4,"samples_ran":3,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/bipoco-bi-directional-trajectory-prediction","title":"BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection","date":"2022-07-05","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/regularity-learning-via-explicit-distribution","title":"Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection","date":"2021-12-07","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/graph-embedded-pose-clustering-for-anomaly","title":"Graph Embedded Pose Clustering for Anomaly Detection","date":"2019-12-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multi-timescale-trajectory-prediction-for","title":"Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection","date":"2019-08-12","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/learning-regularity-in-skeleton-trajectories","title":"Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos","date":"2019-03-08","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/future-frame-prediction-for-anomaly-detection","title":"Future Frame Prediction for Anomaly Detection -- A New Baseline","date":"2017-12-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-temporal-regularity-in-video","title":"Learning Temporal Regularity in Video Sequences","date":"2016-04-15","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":3,"samples_harvested":14,"samples_ran":11,"samples_unverified":3,"pointer_only_for_licence":2,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}