Template-based Feature Aggregation Network for industrial anomaly detection

Author:

Luo WeiORCID,Yao HaimingORCID,Yu WenyongORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference57 articles.

1. The phase only transform for unsupervised surface defect detection;Aiger;Comput. Vis. Pattern Recognit.,2010

2. Akcay, Samet, Atapour-Abarghouei, Amir, Breckon, Toby P., 2018. GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training. In: Asian Conference on Computer Vision.

3. Skip-ganomaly: Skip connected and adversarially trained encoder-decoder anomaly detection;Akçay,2019

4. Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and localization;Bergmann;Int. J. Comput. Vis.,2022

5. MVTec AD — A comprehensive real-world dataset for unsupervised anomaly detection;Bergmann;Comput. Vis. Pattern Recognit.,2019

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