Industrial surface defect detection and localization using multi-scale information focusing and enhancement GANomaly
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference36 articles.
1. Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects;Üzen;Expert Systems with Applications,2022
2. Anomaly-GAN: A data augmentation method for train surface anomaly detection;Liu;Expert Systems with Applications,2023
3. Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network;Chen;Mechanical Systems and Signal Processing,2023
4. FGDAE: A new machinery anomaly detection method towards complex operating conditions;Yan;Reliability Engineering & System Safety,2023
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