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2. MVTec AD – a comprehensive real-world dataset for unsupervised anomaly detection;Bergmann;CVPR 2019,2019
3. Uninformed students: student–teacher anomaly detection with discriminative latent embeddings;Bergmann;2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2020
4. End-to-end training of a two-stage neural network for defect detection;Božič;2020 25th International Conference on Pattern Recognition,2020
5. Rethinking Atrous Convolution for Semantic Image Segmentation;Chen,2017