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Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning

Chen, Peng et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Industrial anomaly detection demands precise reasoning over fine-grained defect patterns. However, existing multimodal large language models (MLLMs), pretrained on general-domain data, often struggle to capture category-specific anomalies, thereby limiting both detection accuracy and interpretabilit
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