Search Results for author: Hannah M. Schlüter

Found 1 papers, 1 papers with code

Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization

3 code implementations • 30 Sep 2021 • Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz

We introduce a simple and intuitive self-supervision task, Natural Synthetic Anomalies (NSA), for training an end-to-end model for anomaly detection and localization using only normal training data.

Ranked #5 on Anomaly Detection on AeBAD-V

Data Augmentation Out-of-Distribution Detection +2

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