Unsupervised Anomaly Detection Approach for Shift Quality Assessment Using Deep Neural Networks - researchr publication

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Geesung Oh, Joonghoo Park, Kyunghun Hwang, Sejoon Lim. Unsupervised Anomaly Detection Approach for Shift Quality Assessment Using Deep Neural Networks. In 2022 IEEE Intelligent Vehicles Symposium, IV 2022, Aachen, Germany, June 4-9, 2022. pages 492-497, IEEE, 2022. [doi]

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