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This paper studies zero-shot anomaly classification (AC) and segmentation (AS) in industrial vision.
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Segment any anomaly without training via hybrid prompt regularization
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Pyramidflow: High-resolution defect contrastive localization using pyramid normalizing flow
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Zero-shot anomaly detection via batch normalization
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Simplenet: A simple network for image anomaly detection and localization
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Asymmetric student-teacher networks for industrial anomaly detection
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Pushing the limits of fewshot anomaly detection in industry vision: Graphcore
Guoyang Xie, Jingbao Wang, Jiaqi Liu, Feng Zheng, and Yaochu Jin · 2023
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Prototypical residual networks for anomaly detection and localization
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