The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization - researchr publication authors

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Luca Bonfiglioli, Marco Toschi, Davide Silvestri, Nicola Fioraio, Daniele De Gregorio. The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization. In Lei Wang 0001, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa, editors, Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part V. Volume 13845 of Lecture Notes in Computer Science, pages 459-475, Springer, 2022. [doi]

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