BOOK-CHAPTER

Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization

Hannah M. SchlüterJeremy TanBenjamin HouBernhard Kainz

Year: 2022 Lecture notes in computer science Pages: 474-489   Publisher: Springer Science+Business Media
Keywords:
Computer science Anomaly detection Artificial intelligence Synthetic data Anomaly (physics) A priori and a posteriori Code (set theory) Pattern recognition (psychology) Image (mathematics) Range (aeronautics) Task (project management) Natural (archaeology) Data mining Computer vision

Metrics

150
Cited By
54.30
FWCI (Field Weighted Citation Impact)
29
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
COVID-19 diagnosis using AI
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Domain Adaptation and Few-Shot Learning
Physical Sciences →  Computer Science →  Artificial Intelligence
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