Hierarchical Question-Image Co-Attention for Visual Question Answering

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Revision as of 00:01, 21 November 2017 by S6kalra (talk | contribs) (Introduction)
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Introduction

Visual Question Answering (VQA) is a recent problem in computer vision and natural language processing that has garnered a large amount of interest from the deep learning, computer vision, and natural language processing communities. In VQA, an algorithm needs to answer text-based questions about images in natural language as illustrated in Figure <xr="fig:vqa-overview"/>.

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Figure 1: Figure illustrates a VQA system; whereby AI System takes an image and a text-based visual question about the image as input and outputs the answer for the visual question in natural language

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