Recent advances in surface defect inspection of industrial products using deep learning techniques

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A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects

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Computer-Vision-Based Fabric Defect Detection: A Survey

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Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection

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A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques

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A fast and robust convolutional neural network-based defect detection model in product quality control

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A Generic Deep-Learning-Based Approach for Automated Surface Inspection

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Wafer Map Defect Pattern Classification and Image Retrieval Using Convolutional Neural Network

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Real-time detection of steel strip surface defects based on improved yolo detection network

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Convolutional Neural Network for Wafer Surface Defect Classification and the Detection of Unknown Defect Class

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Machine learning-based imaging system for surface defect inspection

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Convolutional Neural Networks for Steel Surface Defect Detection from Photometric Stereo Images

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Deformable Patterned Fabric Defect Detection With Fisher Criterion-Based Deep Learning

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Deep Learning-Based Wafer-Map Failure Pattern Recognition Framework

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Fabric defects detection using adaptive wavelets

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