WebMar 17, 2024 · Knowledge-based visual question answering requires the ability of associating external knowledge for open-ended cross-modal scene understanding.One limitation of existing solutions is that they capture relevant knowledge from text-only knowledge bases, which merely contain facts expressed by first-order predicates or … WebFact-based Visual Question Answering (FVQA) requires external knowledge beyond the visible content to answer questions about an image. This ability is challenging but indispensable to achieve general VQA. One limitation of existing FVQA solutions is that they jointly embed all kinds of information without fine-grained selection, which ...

NeverMoreLCH/Awesome-VQA - Github

WebMay 3, 2015 · We propose the task of free-form and open-ended Visual Question Answering (VQA). Given an image and a natural language question about the image, the task is to provide an accurate natural language answer. Mirroring real-world scenarios, such as helping the visually impaired, both the questions and answers are open-ended. … introductory art lessons

FVQA: Fact-based Visual Question Answering Papers …

WebJun 17, 2016 · Visual Question Answering (VQA) has attracted a lot of attention in both Computer Vision and Natural Language Processing communities, not least because it offers insight into the relationships between two important sources of information. Current datasets, and the models built upon them, have focused on questions which are … WebWe thus extend a conventional visual question answering dataset, which contains image-question-answer triplets, through additional image-question-answer-supporting fact … WebVideo Question Answering Video Question Answering aims to answer questions asked about the content of a video. Inference You can infer with Visual Question Answering models using the vqa (or visual-question … new owners of man united