most citedBidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection

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cs.CV2026★ 1 cited

Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection

Yujin Lee, Sewon Kim, Daeun Moon +2

Few-shot multi-class anomaly detection is crucial in real industrial settings, where only a few normal samples are available while numerous object types must be inspected. This set…

cs.CV2025

LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions

Yejin Kwon, Daeun Moon, Youngje Oh +1

Anomaly Detection (AD) focuses on detecting samples that differ from the standard pattern, making it a vital tool in process control. Logical anomalies may appear visually normal y…