SYRFA: SYnthetic-to-Real Adaptation via Feature Alignment for Video Anomaly Detection.
Jonghwan HongBokyeung LeeKyungdeuk KoHanseok KoPublished in: IEEE Access (2024)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- network intrusion detection
- detecting anomalies
- video sequences
- behavior analysis
- network anomaly detection
- one class support vector machines
- network traffic
- unsupervised anomaly detection
- network security
- real world
- video data
- computer security
- network intrusion
- detecting anomalous
- intrusion detection system
- unsupervised learning
- high dimensional
- cumulative sum
- data processing
- pairwise
- object recognition
- image segmentation
- decision trees
- machine learning