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GRNR

Official implementation of the paper "Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection"

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

IEEE Transactions on Systems, Man and Cybernetics: Systems 2025

GRNR Framework

GRNR

BibTex Citation

If you like our paper or code, please use the following BibTex:

@article{yao2025global, title={Global-regularized neighborhood regression for efficient zero-shot texture anomaly detection}, author={Yao, Haiming and Luo, Wei and Cao, Yunkang and Zhang, Yiheng and Yu, Wenyong and Shen, Weiming}, journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems}, year={2025}, publisher={IEEE} }

Demo

  • Directly running the python code main.py(Please specify the test image path before running), you will get the results: demo

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Official implementation of the paper "Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection"

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