Hierarchical Question-Image Co-Attention for Visual Question Answering: Difference between revisions

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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"/>.
 
<figure id="fig:vqa-overview">
  [[File:vqa-overview.png|thumb|800px|center|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]].
</figure>

Revision as of 00:01, 21 November 2017

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"/>.

<figure id="fig:vqa-overview">

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

.

</figure>