HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization

Understand

Unsupervised anomaly detection and localization is a crucial task as it is impossible to collect and label all possible anomalies.

• Many studies have emphasized the importance of integrating local and global information to achieve accurate segmentation of anomalies.
• To this end, there has been a growing interest in Transformer, which allows modeling long-range content interactions.
• However, global interactions through self attention are generally too expensive for most image scales.