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Fine-Grained Multi-Modal Retrieval for VQA by drdoxca is a document available to read on EtoBox.

What is Fine-Grained Multi-Modal Retrieval for VQA about?

This paper presents Fine-grained Late-interaction Multi-modal Retrieval (FLMR) to enhance Retrieval-Augmented Visual Question Answering (RA-VQA) systems by addressing limitations in knowledge retrieval. FLMR improves image representation accuracy and captures finer-grained relevance through multi-dimensional embeddings, resulting in an 8% increase in PRRecall@5 and achieving a 61% VQA score on the OK-VQA dataset. The proposed method integrates visual and textual features effectively, surpassing existing sta

Author
drdoxca
Language
EN