Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies

@inproceedings{Liu2019MarginLE,
  title={Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies},
  author={W. Liu and Weixin Luo and Zhengxin Li and P. Zhao and Shenghua Gao},
  booktitle={IJCAI},
  year={2019}
}
Classical semi-supervised video anomaly detection assumes that only normal data are available in the training set because of the rare and unbounded nature of anomalies. It is obviously, however, these infrequently observed abnormal events can actually help with the detection of identical or similar abnormal events, a line of thinking that motivates us to study open-set supervised anomaly detection with only a few types of abnormal observed events and many normal events available. Under the… Expand
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