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We Need to Rethink Benchmarking in Anomaly Detection

Current anomaly detection benchmarks stagnate because trivial feature-extreme methods match deep learning, so evaluation must shift to scenario-specific taxonomies with tailored metrics.

Philipp Röchner, Simon Klüttermann, Kevin Kammler, Franz Rothlauf and 2 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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lenient 5/5
medium 4/10
strict 1/5