Ok Vqa

Ok-VQA, or outside-knowledge visual question answering, focuses on developing systems that can answer complex questions about images by accessing and integrating external knowledge. Current research emphasizes efficient methods for retrieving and incorporating this knowledge, exploring approaches like dense passage retrieval and prompting large language models (LLMs) with image-derived text. These advancements aim to improve the accuracy and interpretability of VQA systems, bridging the gap between image understanding and complex reasoning requiring external information. The field's progress has significant implications for applications requiring robust visual understanding and knowledge integration, such as advanced search engines and intelligent assistants.