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The document surveys algorithms for detecting defects in textile manufacturing. It categorizes approaches as traditional or learning-based, with traditional divided into statistical, structural, spectral and model-based. Learning-based are split into conventional machine learning and recent deep learning methods. The paper provides an overview of these techniques and discusses their deployment in industry.

Author

Tharun Raj

Language

EN