Search Results for author:
Found 2 papers, 2 papers with code
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection
Image reconstruction-based anomaly detection models are widely explored in industrial visual inspection.
Ranked #6 on
Anomaly Detection
on VisA
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection
The model with an overly strong generalization capability can even well reconstruct the abnormal regions, making them less distinguishable, while the model with a poor generalization capability can not reconstruct those changeable high-frequency components in the normal regions, which ultimately leads to false positives.
Ranked #7 on
Anomaly Detection
on VisA
