Jul 28, 2023 · We argue that VQA models will not fully succeed at meeting people's needs unless they take context into account. To further motivate and analyze ...
The purpose of the Context-VQA dataset is to align pre- vious VQA efforts with an explicit accessibility goal, and to situate questions and answers within ...
Visual question answering (VQA) has the potential to make the Internet more accessible in an interactive way, allowing people who cannot see images to ask ...
The purpose of the Context-VQA dataset is to align pre- vious VQA efforts with an explicit accessibility goal, and to situate questions and answers within ...
This repository includes the code and dataset for the paper Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering.
Jul 28, 2023 · To further motivate and analyze the distinction between different contexts, we introduce Context-VQA, a VQA dataset that pairs images with ...
While long-form visual question answering (LFVQA) has enormous potential, we have limited knowledge about the content and quality of long-form answers. ... ...
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This paper introduces contextual information into VQA for the first time and presents a context-aware attention network (CAAN) to tackle the case.
Missing: Purposeful | Show results with:Purposeful
To further motivate and analyze the distinction between different contexts, we introduce Context-VQA, a VQA dataset that pairs images with contexts, ...
Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering · 1 code implementation • 28 Jul 2023 • Nandita Naik, Christopher Potts, Elisa ...