A Survey of Visual Commonsense Generation Task

Jinwoo Park, Junyeong Kim
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Abstract

The task of extracting commonsense from data has received a lot of attention, and various research on commonsense tasks is conducted. This paper provides an overview of the visual commonsense generation(VCG) tasks using visual and language data. First, we will describe the differences between VCG tasks and other tasks that use commonsense such as reasoning, question, answering, and etc. Next, we will look at what datasets are available and what models are being used in relation to the VCG task. Finally, we will explain the limitations that are in the VCG task studied so far and will discuss future research directions in VCG task. This survey will provide an introduction to VCG task and a guide to practitioners.
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视觉常识生成任务综述
从数据中提取常识的任务受到了广泛的关注,人们对常识任务进行了各种各样的研究。本文概述了基于视觉和语言数据的视觉常识生成(VCG)任务。首先,我们将描述VCG任务与其他使用常识的任务(如推理,提问,回答等)之间的区别。接下来,我们将查看可用的数据集以及与VCG任务相关的模型。最后,我们将解释目前所研究的VCG任务的局限性,并讨论VCG任务未来的研究方向。本调查将提供VCG任务的介绍和从业者指南。
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