UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving.
Daniel BogdollNoël OllickTim JosephJ. Marius ZöllnerPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- autonomous driving
- intrusion detection
- unsupervised learning
- network traffic
- detecting anomalies
- network intrusion detection
- anomalous behavior
- grand challenge
- detect anomalies
- network anomaly detection
- intrusion detection system
- network security
- one class support vector machines
- detecting anomalous
- supervised learning
- semi supervised
- network intrusion
- cumulative sum
- training data
- negative selection algorithm
- image analysis