PaperCVPR 2019 · 2019
MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
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2020Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent EmbeddingsBergmann, Fauser et al.2022Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and LocalizationBergmann, Batzner et al.2022Towards Total Recall in Industrial Anomaly DetectionRoth, Pemula et al.2022SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and SegmentationZou, Jeong et al.2023EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level LatenciesBatzner, Heckler, König2023Asymmetric Student-Teacher Networks for Industrial Anomaly DetectionRudolph, Wehrbein et al.