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20242026
most citedGlobal-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2024★ 1 cited

Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection

Haiming Yao, Wei Luo, Yunkang Cao +3

Texture surface anomaly detection finds widespread applications in industrial settings. However, existing methods often necessitate gathering numerous samples for model training. M…

cs.LG2024

LogiCode: an LLM-Driven Framework for Logical Anomaly Detection

Yiheng Zhang, Yunkang Cao, Xiaohao Xu +1

This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond traditional focu…

cs.CV2024

Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection

Yiheng Zhang, Yunkang Cao, Tianhang Zhang +1

This study targets Multi-Lighting Image Anomaly Detection (MLIAD), where multiple lighting conditions are utilized to enhance imaging quality and anomaly detection performance. Whi…