E. S. Vinoth Kumar

Adaptive multimodal large language model with hierarchical cross modal grounding for real time industrial visual anomaly detection on edge devices

The HCG-MLLMAD - Hierarchical Cross-Modal Grounding framework of Multimodal Large Language Model-based Anomaly Detection - a variant of the original Light-MLLMAD architecture with multi-scale visual feature pyramids, prompt routing, and a hierarchical cross-attention fusion mechanism is presented.