MAEDAY: MAE for few- and zero-shot AnomalY-Detection

We propose using Masked Auto-Encoder (MAE), a transformer model self-supervisedly trained on image inpainting, for anomaly detection (AD). Assuming anomalous regions are harder to reconstruct compared with normal regions. MAEDAY is the first image-reconstruction-based anomaly detection method that u...

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Bibliographic Details

Published in:	Computer vision and image understanding Vol. 241; p. 103958
Main Authors:	Schwartz, Eli, Arbelle, Assaf, Karlinsky, Leonid, Harary, Sivan, Scheidegger, Florian, Doveh, Sivan, Giryes, Raja
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.04.2024
Subjects:	Anomaly-detection Foreign object detection Masked autoencoder Masked autoencoder 41A10 65D05 65D17 Anomaly-detection Foreign object detection 41A05
ISSN:	1077-3142, 1090-235X
Online Access:	Get full text
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