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Yunkang Cao

2 papers indexed

arxivcs.CV2026-07-31

OSAGEN: Object-Aware Mask Priors and Multistage Decoupled Diffusion for Industrial Anomaly Generation

Jinyi Xu, Peng Chen, Yunkang Cao, Chengliang Liu, Xinghui Dong, Chao Huang

Industrial anomaly detection and localization are limited by scarce real anomalies and pixel-level annotations, a bottleneck that synthetic image-mask pairs can alleviate. However, existing few-shot mask-guided generation may over-follow mask geometry, produce weak anomalies, or…

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arxivcs.CV2026-07-02

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection

Ningning Han, Lei Fan, Jia Guo, Yunkang Cao, Xiu Su, Feng Cao, et al.

The deployment of Industrial Anomaly Detection (IAD) in real-world manufacturing frequently encounters a challenging cold-start bottleneck, in which limited normal samples fail to represent the full normal distribution and only a few anomalies are available. Under such a regime,…

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