Anomalib: A Deep Learning Library for Anomaly Detection.
Samet AkcayDick AmelnAshwin VaidyaBarath LakshmananNilesh A. AhujaErgin Utku GencPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- machine learning
- network traffic
- unsupervised feature learning
- intrusion detection system
- network anomaly detection
- supervised learning
- mental models
- weakly supervised
- model selection
- object detection
- high dimensional
- object recognition
- normal behavior
- natural language
- image segmentation
- one class support vector machines
- negative selection algorithm
- data sets