Normalizing Flow-Based Industrial Complex Background Anomaly Detection

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Track Defect Detection for High-speed Maglev Trains via Deep Learning

(2022) Yongxiang He et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Unsupervised video anomaly detection via normalizing flows with implicit latent features

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YOLOv5-PD: A Model for Common Asphalt Pavement Defects Detection

(2022) Yiming Xu et al.   Journal of Sensors

Finite-Element Study of Motion-Induced Eddy Current Array Method for High-Speed Rail Defects Detection

(2021) Guanyu Piao et al.   IEEE TRANSACTIONS ON MAGNETICS

Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY

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Pandrol track fastener defect detection based on local convolutional neural networks

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Normalizing Flows: An Introduction and Review of Current Methods

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f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

(2019) Thomas Schlegl et al.   MEDICAL IMAGE ANALYSIS

Automatic multi-fault recognition in TFDS based on convolutional neural network

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Visual railway detection by superpixel based intracellular decisions

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Anomaly detection

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