Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple yet Efficient Framework based on Masked Autoencoder.
Xiangyu HuangCaidan ZhaoChenxing GaoLvdong ChenZhiqiang WuPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- novelty detection
- network intrusion detection
- unsupervised learning
- video sequences
- network traffic
- one class support vector machines
- network security
- data assimilation
- neural network
- network anomaly detection
- intrusion prevention
- detecting anomalous
- detect anomalies
- real world
- training data
- behavior analysis
- data sets
- intrusion detection system
- supervised learning