Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study.
André Luiz Buarque Vieira e SilvaFrancisco SimõesDanny KowerkoTobias SchlosserFelipe BattistiVeronica TeichriebPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- case study
- intrusion detection
- input image
- network traffic
- detecting anomalies
- high resolution
- network intrusion detection
- anomalous behavior
- data mining
- network intrusion
- computer security
- computer vision
- negative selection algorithm
- behavior analysis
- network security
- similarity measure
- image segmentation
- malware detection
- detect anomalies
- training set
- one class support vector machines
- network anomaly detection
- detecting anomalous
- unsupervised anomaly detection