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BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization., , , , and . IEEE Trans. Syst. Man Cybern. Syst., 54 (4): 2342-2353 (April 2024)Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization., , , and . CoRR, (2023)Deep Feature Contrasting for Industrial Image Anomaly Segmentation., , , , and . IEEE Trans. Instrum. Meas., (2024)Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead., , , , and . CoRR, (2023)Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection., , , , , and . CoRR, (2023)Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection., , and . CoRR, (2023)Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense Prediction., , , and . CoRR, (2024)Dual-path Frequency Discriminators for Few-shot Anomaly Detection., , , , , , , and . CoRR, (2024)High-Resolution Image Anomaly Detection via Spatiotemporal Consistency Incorporated Knowledge Distillation., , and . CASE, page 1-6. IEEE, (2023)A masked reverse knowledge distillation method incorporating global and local information for image anomaly detection., , and . Knowl. Based Syst., (November 2023)