2024
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
ECCV 2024poster
"In the field of multi-class anomaly detection, reconstruction-based methods derived from single-class anomaly detection face the well-known challenge of “learning shortcuts”, wherein the model fails to learn the patterns of normal samples as it should, opting instead for shortcuts such as identity…