Self-Supervised Learning for Industrial Image Anomaly Detection by Simulating Anomalous Samples.
Mingjing PeiNingzhong LiuBing ZhaoHan SunPublished in: Int. J. Comput. Intell. Syst. (2023)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- connectionist systems
- unsupervised learning
- detecting anomalous
- detecting anomalies
- network intrusion detection
- intrusion detection system
- learning algorithm
- network traffic
- supervised learning
- input image
- learning process
- computer security
- data sets
- unsupervised anomaly detection
- active learning
- one class support vector machines
- negative selection algorithm
- network security
- normal behavior
- support vector
- image segmentation