Anomaly Detection for Industrial Inspection using Convolutional Autoencoder and Deep Feature-based One-class Classification

Jamal Saeedi, Alessandro Giusti. Anomaly Detection for Industrial Inspection using Convolutional Autoencoder and Deep Feature-based One-class Classification. In Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch, editors, Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 5: VISAPP, Online Streaming, February 6-8, 2022. pages 85-96, SCITEPRESS, 2022. [doi]

Abstract

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