Reference-Based Autoencoder for Surface Defect Detection. (arXiv:2211.10060v1 [cs.CV])

Due to the extreme imbalance in the number of normal data and abnormal data,
visual anomaly detection is important for the development of industrial
automatic product quality inspection. Unsupervised methods based on
reconstruction and embedding have been widely studied for anomaly detection, of
which reconstruction-based methods are the most popular. However, establishing
a unified model for textured surface defect detection remains a challenge
because these surfaces can vary in homogeneous and non regularly ways.
Furthermore, existing reconstruction-based methods do not …

arxiv autoencoder defect detection detection reference