读的论文有点杂乱，把异常事件检测的论文单独拿出来做个记录，有时间就会更新。

1. Learning Deep Representations of Appearance and Motion for Anomalous Event Detection（2015）

2. Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks（2016）

3. Abnormal Event Detection in Videos using Spatiotemporal Autoencoder（2017）

4. ABNORMAL EVENT DETECTION IN VIDEOS USING GENERATIVE ADVERSARIAL NETS（2017）

5. Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge（2017）

6. A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework（2017）

7. Remembering history with convolutional LSTM for anomaly detection（2017）

8. Future Frame Prediction for Anomaly Detection – A New Baseline（2018）

9. Real-world Anomaly Detection in Surveillance Videos（2018）

10. An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos（2018）

11. STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection（2018）

12. Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder（2018）

13. Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos（2019）

14. Graph Convolutional Label Noise Cleaner:Train a Plug-and-play Action Classifier for Anomaly Detection（2019）

15. Anomaly Detection in Video Sequence with Appearance-Motion Correspondence（2019）

16. Attention Guided Anomaly Detection and Localization in Images（2019）