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Video Anomaly

Mo Meng Jingcheng (莫梦竟成); Zheng JianKang (郑健康)About 2 min

➢ 数据集

  1. UMN - downloadopen in new window
  2. UCSD - downloadopen in new window
  3. Subway Entrance/Exit - downloadopen in new window
  4. CUHK Avenue - downloadopen in new window
    • HD-Avenue [Skeleton-based]
  5. ShanghaiTech - downloadopen in new window
    • HD-ShanghaiTech [Skeleton-based]
  6. UCF-Crime (Weakly Supervised)
  7. Traffic-Train
  8. Belleview
  9. Street Scene (WACV 2020) - downloadopen in new window
  10. IITB-Corridor (WACV 2020) - [Rodrigurs.etl]
  11. XD-Violence (ECCV 2020) - downloadopen in new window
  12. ADOC (ACCV 2020) - downloadopen in new window
  13. UBnormal (CVPR 2022) - githubopen in new window Open-Set

■ 交通事故相关数据集

  1. CADP (CarCrash Accidents Detection and Prediction) - githubopen in new window
  2. DAD - paperopen in new window, downloadopen in new window
  3. A3D - paperopen in new window, downloadopen in new window
  4. DADA - downloadopen in new window
  5. DoTA - downloadopen in new window
  6. Iowa DOT - downloadopen in new window

➢ 视频异常检测开源代码

  • Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors (CVPR'24) - codeopen in new window
  • Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection (TPAMI'22)
  • Learning Memory-guided Normality for Anomaly Detection (CVPR'20) - codeopen in new window
  • Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection (CVPR 2022)
  • A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection (TPAMI 2021)
  • Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos (TCSVT 2022)
  • Bidirectional Spatio-Temporal Feature Learning With Multiscale Evaluation for Video Anomaly Detection (TCSVT 2022)
  • Anomaly Detection With Bidirectional Consistency in Videos (TNNLS 2022)
  • Variational Abnormal Behavior Detection With Motion Consistency (TIP 2022)
  • DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos (TPAMI 2023)
  • A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos (TCSVT 2023)
  • Learnable Locality-Sensitive Hashing for Video Anomaly Detection (TCSVT 2023)
  • A Kalman Variational Autoencoder Model Assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection (TIP 2023)
  • Abnormal Event Detection and Localization via Adversarial Event Prediction (TNNLS 2023)
  • Cluster Attention Contrast for Video Anomaly Detection (ACM MM 2020) --> The first to apply Contrastive Learninig
  • A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction (ICCV 2021) - codeopen in new window
  • Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles (ECCV 2022)

➢ 论文合集与资源

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Copyright © 2025 Mo Meng Jingcheng (莫梦竟成); Zheng JianKang (郑健康)