Unsupervised textile defect detection using convolutional neural networks

Imane Koulali; M. Taner Eskil

doi:10.1016/j.asoc.2021.107913

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Unsupervised textile defect detection using convolutional neural networks

Imane Koulali M. Taner Eskil

Year: 2021 Journal: Applied Soft Computing Vol: 113 Pages: 107913-107913 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2021.107913

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Keywords:

Computer science Initialization Artificial intelligence Pattern recognition (psychology) Hyperparameter Convolutional neural network Anomaly detection Benchmark (surveying) Unsupervised learning Preprocessor Memory footprint Artificial neural network Normalization (sociology) Feature extraction Machine learning

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Topics

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Integrated Circuits and Semiconductor Failure Analysis

Physical Sciences → Engineering → Electrical and Electronic Engineering

Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised textile defect detection using convolutional neural networks

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