Driver Anomaly Detection: A Dataset and Contrastive Learning Approach.
Okan KöpüklüJiapeng ZhengHang XuGerhard RigollPublished in: WACV (2021)
Keyphrases
- anomaly detection
- intrusion detection
- connectionist systems
- learning process
- learning algorithm
- supervised learning
- unsupervised learning
- detecting anomalies
- anomalous behavior
- network intrusion detection
- intrusion detection system
- learning problems
- image segmentation
- network anomaly detection
- detecting anomalous
- one class support vector machines
- unsupervised anomaly detection
- network traffic
- behavior analysis
- network security
- outlier detection
- active learning
- object recognition
- decision trees