Multi-Class Hypersphere Anomaly Detection Based on Edge Outlier Exposure Set and Margin
Currently, the decision boundary of the multi-class anomaly detection algorithm based on deep learning does not sufficiently capture the positive class region, posing a risk of abnormal sample features falling into the domain of normal sample features and potentially leading to misleading outcomes in practical applications.In response to the above