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Metric Learning for Anomaly Detection
May 17, 2022, 3:23 p.m. | Yusuf Sarıgöz
Towards Data Science - Medium towardsdatascience.com
How to use metric learning to detect anomalies: quality assessment of coffee beans with just 200 labelled samples
Image by author.Anomaly detection is a thirsting yet challenging task that has numerous use cases across various industries. The complexity results mainly from the fact that the task is data-scarce by definition.
Similarly, anomalies are, again by definition, subject to frequent change, and they may take unexpected forms. For that reason, supervised classification-based approaches are:
- Data-hungry — requiring quite a number …
anomaly anomaly detection detection learning metric-learning similarity-learning
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