"Self-supervised representation learning anomaly detection methodology ..."

Yoonseok Kim et al. (2023)

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DOI: 10.1016/J.COMPIND.2023.104024

access: open

type: Journal Article

metadata version: 2024-06-08

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Yoonseok Kim, Taeheon Lee, Youngjoo Hyun, Eric Coatanéa, Siren Mika, Jeonghoon Mo, Youngjun Yoo:
Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data. Comput. Ind. 153: 104024 (2023)

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