Hai Son

Memory-Augmented Autoencoder for Industrial Anomaly Detection

Unsupervised anomaly detection in industrial manufacturing requires identifying defective products utilizing only defect-free training images. Reconstruction-based methods using autoencoders are widely applied but suffer from limited discriminative power when defects occupy small image regions. This work introduces a M...