CORE: Contrast-and-Reflect for Self-Supervised Prompt Optimization in Anomaly Synthesis

Haoxiang Rao, Fang Zhao, Zhao Wang +3

Industrial anomaly detection (AD) is bottlenecked by the scarcity of anomalous samples, making high-fidelity anomaly synthesis crucial for improving downstream performance. However…