Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption - researchr publication authors

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Jack W. Barker, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon. Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. In Petia Radeva, Giovanni Maria Farinella, Kadi Bouatouch, editors, Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023, Volume 5: VISAPP, Lisbon, Portugal, February 19-21, 2023. pages 615-625, SCITEPRESS, 2023. [doi]

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