AI RESEARCH
Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions
arXiv CS.LG
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ArXi:2605.24251v1 Announce Type: new Continual anomaly detection (CAD) addresses the need for industrial inspection systems to adapt to evolving production conditions, yet existing methods share three critical gaps: unrealistic evaluation, no systematic comparison, and no consideration of edge deployment constraints. We