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The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection., , , , and . Int. J. Comput. Vis., 129 (4): 1038-1059 (2021)The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization., , , and . VISIGRAPP (5: VISAPP), page 202-213. SCITEPRESS, (2022)MVTec AD - A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection., , , and . CVPR, page 9592-9600. Computer Vision Foundation / IEEE, (2019)Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors., and . WACV, page 2612-2622. IEEE, (2023)Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders., , , , and . VISIGRAPP (5: VISAPP), page 372-380. SciTePress, (2019)Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings., , , and . CoRR, (2019)Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization., , , , and . Int. J. Comput. Vis., 130 (4): 947-969 (2022)Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings., , , and . CVPR, page 4182-4191. Computer Vision Foundation / IEEE, (2020)