OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data Sets

Andreas Lohrer, Jan Deller, Maximilian Hünemörder, Peer Kröger. OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data Sets. In 2021 International Conference on Data Mining, ICDM 2021 - Workshops, Auckland, New Zealand, December 7-10, 2021. pages 991-1000, IEEE, 2021. [doi]

Abstract

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