MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection.
Jia-Chang FengFa-Ting HongWei-Shi ZhengPublished in: CVPR (2021)
Keyphrases
- anomaly detection
- multiple instance
- multiple instance learning
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- semi supervised learning
- network traffic
- one class support vector machines
- intrusion detection system
- video sequences
- key frames
- real valued
- supervised learning
- multi class
- active learning
- detect anomalies
- feature selection
- learning algorithm