SignRAG: A Retrieval-Augmented System for Scalable Zero-Shot Road Sign Recognition

The article introduces SignRAG, a system leveraging retrieval-augmented generation (RAG) for road sign recognition. The focus is on zero-shot learning, implying the system can recognize signs it hasn't been explicitly trained on. The scalability aspect suggests the system is designed to handle a large number of signs and potentially large datasets. The source being ArXiv indicates this is a research paper, likely detailing the system's architecture, methodology, and evaluation.