nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods.
Matthew BaughJeremy TanAthanasios VlontzosJohanna P. MüllerBernhard KainzPublished in: CoRR (2022)
Keyphrases
- empirical studies
- benchmark datasets
- significant improvement
- databases
- key ingredient
- statistical methods
- computationally expensive
- theoretical framework
- main contribution
- intrusion detection
- preprocessing
- artificial intelligence
- learning algorithm
- real time
- lightweight
- decision trees
- feature selection
- machine learning methods
- methods require