Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions 事件

Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions arXiv:2605.24251v1 Announce Type: cross Abstract: 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 introduce a unified benchmark combining discrete-task evaluat