Asymmetric Student-Teacher Networks for Industrial Anomaly Detection.
Marco RudolphTom WehrbeinBodo RosenhahnBastian WandtPublished in: WACV (2023)
Keyphrases
- anomaly detection
- intrusion detection
- student teachers
- detecting anomalies
- network traffic
- anomalous behavior
- intrusion detection system
- network anomaly detection
- computer networks
- network intrusion detection
- one class support vector machines
- negative selection algorithm
- social networks
- detect anomalies
- unsupervised learning
- e learning
- computational intelligence
- active learning