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Published 20 hours ago • verified publisher icon hmsch
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Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".

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Thank you for providing research materials. The provided source code seems to be structured so that training can proceed with the public dataset. Apart from this, if you don't mind,...

YeongHyeon avatar YeongHyeon

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verified publisher icon hmsch

Metadata

Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".

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