2 papers
cs.AI2023
A Comprehensive Augmentation Framework for Anomaly Detection
Jiang Lin, Yaping Yan
Data augmentation methods are commonly integrated into the training of anomaly detection models. Previous approaches have primarily focused on replicating real-world anomalies or e…
cs.CV2023
Exploring the Relationship between Samples and Masks for Robust Defect Localization
Jiang Lin, Yaping Yan
Defect detection aims to detect and localize regions out of the normal distribution.Previous approaches model normality and compare it with the input to identify defective regions,…