Abstract: Few-shot industrial anomaly detection (FSAD) aims to identify unseen defects using only a limited number of normal samples. However, most existing approaches still rely heavily on auxiliary ...

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Abstract: An increasing number of emerging Internet of Things (IoT) devices are transforming our daily lives in various fields, such as transportation, manufacturing, and home automation. The smart ...

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Prior works refine intermediate attention but face limitations: (1) improvements may not propagate to final segmentation; (2) attention lacks direct class information. We introduce a feedback-driven ...