"Asymmetric Student-Teacher Networks for Industrial Anomaly Detection."

Marco Rudolph et al. (2023)

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DOI: 10.1109/WACV56688.2023.00262

access: closed

type: Conference or Workshop Paper

metadata version: 2023-02-14

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Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt:
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection. WACV 2023: 2591-2601

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