Autonomously Detecting Defects in Circular Production Using Multimodal Large Language Models and Retrieval Augmentation
RAG-enhanced MLLMs are a viable, low-barrier solution for inspection tasks in remanufacturing scenarios with limited expert supervision and diverse object classes and demonstrate their viability in low-data, multi-class remanufacturing scenarios.
Dominik Koch, Ohland, Wen et al.
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