Papers with Visual Retriever-Reader pipeline

1 papers
Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering (2021.emnlp-main)

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Challenge: Existing knowledge-based visual question answering systems rely on Concept-Net and Wikipedia to obtain external knowledge.
Approach: They propose a visual retriever-reader pipeline that uses a natural language knowledge base and a Visual retriever to retrieve relevant knowledge.
Outcome: The proposed method significantly improves the visual retriever-reader pipeline on the OK-VQA benchmark.

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