Unsupervised anomaly detection method based on discrete feature rectification
The proposed RD framework strengthens anomaly detection capability through a Discrete Feature Rectification (DFR) strategy and a Multi-Scale Feature Fusion (MFF) module, which effectively integrates rectified multi-level features for high-quality reconstruction.