2 papers
cs.CV2025
Normal-Abnormal Guided Generalist Anomaly Detection
Yuexin Wang, Xiaolei Wang, Yizheng Gong +1
Generalist Anomaly Detection (GAD) aims to train a unified model on an original domain that can detect anomalies in new target domains. Previous GAD methods primarily use only norm…
cs.CV2024
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection
Xiaolei Wang, Xiaoyang Wang, Huihui Bai +2
Existing unsupervised distillation-based methods rely on the differences between encoded and decoded features to locate abnormal regions in test images. However, the decoder traine…