Procedurally generated water stains in synthetic training data reduce false alarms on real stains, and a sequential coreset variant of PatchCore makes high-resolution training memory-tractable.
Simulation of microstructures and machine learning,
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Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities
Procedurally generated water stains in synthetic training data reduce false alarms on real stains, and a sequential coreset variant of PatchCore makes high-resolution training memory-tractable.