KKA uses LLM-generated anomaly descriptions, text-to-image synthesis, and iterative selection of hard examples to improve unsupervised vision anomaly detectors.
Cross-modal data augmentation for tasks of different modalities,
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KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models
KKA uses LLM-generated anomaly descriptions, text-to-image synthesis, and iterative selection of hard examples to improve unsupervised vision anomaly detectors.