异常行为检测
Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks
intro: Rochester Institute of Technology
arxiv: https://arxiv.org/abs/1612.00390
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
arxiv: https://arxiv.org/abs/1701.01546
github: https://github.com/yshean/
Abnormal Event Detection in Videos using Generative Adversarial Nets
intro: Best Paper / Student Paper Award Finalist, IEEE International Conference on Image Processing (ICIP), 2017
arxiv: https://arxiv.org/abs/1708.09644
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
intro: ICCV 2017
arxiv: https://arxiv.org/abs/1709.09121
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos
intro: Uncanny Vision Solutions
arxiv: https://arxiv.org/abs/1801.03149
STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection
intro: ICASSP 2018
arxiv: https://arxiv.org/abs/1804.08381
Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder
https://arxiv.org/abs/1805.11223
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework
intro: ICCV2017
Remembering history with convolutional LSTM for anomaly detection
intro: ICME
Future Frame Prediction for Anomaly Detection – A New Baseline
intro：CVPR2018
arxiv: https://arxiv.org/abs/1712.09867?context=cs.CV
github: https://github.com/StevenLiuWen/ano_pred_cvpr2018
Real-world Anomaly Detection in Surveillance Videos
intro：CVPR2018
arxiv: https://arxiv.org/abs/1801.04264v1
github: https://github.com/WaqasSultani/AnomalyDetectionCVPR2018
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
intro：CVPR2019
arxiv:https://arxiv.org/abs/1903.03295?context=cs.CV
Graph Convolutional Label Noise Cleaner:Train a Plug-and-play Action Classifier for Anomaly Detection
intro：CVPR2019
arxiv:https://arxiv.org/pdf/1903.07256.pdf
github: https://github.com/jx-zhong-for-academic-purpose/GCN-Anomaly-Detection
(github暂时是空的)
参考文献
1、https://blog.csdn.net/WJ_MeiMei/article/details/84346583