most citedImproving Large Models with Small models: Lower Costs and Better Performance

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cs.CV2025

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models

Dong Chen, Zhengqing Hu, Peiguang Fan +5

Vision anomaly detection, particularly in unsupervised settings, often struggles to distinguish between normal samples and anomalies due to the wide variability in anomalies. Recen…