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ShanghaiTech Campus

Introduced by Wen Liu et al. in Future Frame Prediction for Anomaly Detection -- A New Baseline28 Dec 2017 archive 2025-07-28

The ShanghaiTech Campus dataset has 13 scenes with complex light conditions and camera angles. It contains 130 abnormal events and over 270, 000 training frames. Moreover, both the frame-level and pixel-level ground truth of abnormal events are annotated in this dataset.

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 4 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Weakly-supervised Video Anomaly Detection ShanghaiTech Weakly Supervised DDRO AUC-ROC 97.91 Dual‑detector Re‑optimization for Federated Weakly... rekkles2/Fed_WSVAD 16 Compare
Anomaly Detection In Surveillance Videos ShanghaiTech Weakly Supervised PEL AUC-ROC 98.14 Learning Prompt-Enhanced Context Features for... yujiangpu20/pel4vad 12 Compare
Video Anomaly Detection ShanghaiTech Campus PoseWatch-H AUC 85.75 PoseWatch: A Transformer-based Architecture for... TeCSAR-UNCC/SPARTA 4 Compare
Anomaly Detection ShanghaiTech Campus TSGAD AUC-ROC 80.67 An Exploratory Study on Human-Centric Video Anomaly... tecsar-uncc/tsgad 1 Compare

Papers archive 2025-07-28

25 shown of 25 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 207. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Dual‑detector Re‑optimization for Federated Weakly Supervised Video Anomaly Detection Via Adaptive Dynamic Recursive Mapping 1 2 13 Jun 2025 not harvested
ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications 1 1 4 May 2025 not harvested
VADMamba: Exploring State Space Models for Fast Video Anomaly Detection 1 1 27 Mar 2025 not harvested
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos 1 2 8 Oct 2024 not harvested
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization 1 1 27 Aug 2024 not harvested
Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts 0 1 12 Aug 2024 not harvested
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction 1 2 29 Apr 2024 not harvested
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection 1 1 24 Jan 2024 ran 0 of 1 samples (1 unverified)
Open-Vocabulary Video Anomaly Detection 0 1 13 Nov 2023 not harvested
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection 1 1 22 Aug 2023 ran 4 of 5 samples (1 unverified)
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection 1 1 26 Jun 2023 ran 0 of 9 samples (9 unverified)
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection 1 1 22 Mar 2023 ran 2 of 2 samples (0 unverified; 2 pointer-only for licence)
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection 1 1 10 Feb 2023 ran 7 of 7 samples (0 unverified)
Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning 0 1 1 Jan 2023 not harvested
Self-supervised Sparse Representation for Video Anomaly Detection 1 2 23 Oct 2022 not harvested
Overlooked Video Classification in Weakly Supervised Video Anomaly Detection 1 1 13 Oct 2022 not harvested
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection 1 1 24 Mar 2022 ran 1 of 1 samples (0 unverified)
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction 1 1 16 Aug 2021 ran 0 of 11 samples (11 unverified)
Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning 1 2 15 Apr 2021 ran 0 of 1 samples (1 unverified)
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection 1 2 4 Apr 2021 ran 1 of 1 samples (0 unverified; 1 pointer-only for licence)
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning 3 3 25 Jan 2021 ran 4 of 5 samples (1 unverified; 5 pointer-only for licence)
Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding 1 1 3 Jul 2020 not harvested
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection 1 1 18 Mar 2019 not harvested
Real-world Anomaly Detection in Surveillance Videos 9 1 12 Jan 2018 ran 4 of 6 samples (2 unverified; 4 pointer-only for licence)
007: Democratically Finding The Cause of Packet Drops 1 1 not harvested

Dataset loaders archive 2025-07-28

username/anomaly-detection-dataloadertfpytorchjax

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Anomaly DetectionVideo UnderstandingVideo Anomaly DetectionAnomaly Detection In Surveillance VideosAbnormal Event Detection In VideoWeakly-supervised Video Anomaly DetectionWeakly-supervised Anomaly Detection

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Videos

Languages archive 2025-07-28

English

Variants archive 2025-07-28

  • ShanghaiTech
  • ShanghaiTech Weakly Supervised
  • ShanghaiTech Campus
  • HR-ShanghaiTech

4 variant names, as the archive lists them.

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