1. GANomaly: semi-supervised anomaly detection via adversarial training;Akcay,2018
2. MVTec AD–A comprehensive real-world dataset for unsupervised anomaly detection;Bergmann,2019
3. Uninformed students: student-teacher anomaly detection with discriminative latent embeddings;Bergmann,2020
4. Improving unsupervised defect segmentation by applying structural similarity to autoencoders;Bergmann,2019
5. Texture analysis and classification with tree-structured wavelet transform;Chang;IEEE Trans. Image Process.,1993