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RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection., , , and . CoRR, (2024)Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead., , , , and . CoRR, (2023)High-Resolution Image Anomaly Detection via Spatiotemporal Consistency Incorporated Knowledge Distillation., , and . CASE, page 1-6. IEEE, (2023)LogiCode: an LLM-Driven Framework for Logical Anomaly Detection., , , and . CoRR, (2024)Dual-path Frequency Discriminators for Few-shot Anomaly Detection., , , , , , , and . CoRR, (2024)Generative Denoise Distillation: Simple stochastic noises induce efficient knowledge transfer for dense prediction., , , and . Knowl. Based Syst., (2024)Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization., , , and . CoRR, (2023)Dual-path Frequency Discriminators for few-shot anomaly detection., , , , , and . Knowl. Based Syst., (2024)AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection., , , , , and . ECCV (35), volume 15093 of Lecture Notes in Computer Science, page 55-72. Springer, (2024)Prior Normality Prompt Transformer for Multiclass Industrial Image Anomaly Detection., , , , , and . IEEE Trans. Ind. Informatics, 20 (10): 11866-11876 (October 2024)