Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection

In three linesMODIAD framework for multimodal industrial anomaly detection in distributed online settings. Introduces SMG algorithm for multi-class scheduling and REC-LoRA strategy reducing computational overhead. Validated on MVTec 3D-AD and Eyecandies datasets.

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