视觉常识生成任务综述

Jinwoo Park, Junyeong Kim
{"title":"视觉常识生成任务综述","authors":"Jinwoo Park, Junyeong Kim","doi":"10.1109/ICEIC57457.2023.10049859","DOIUrl":null,"url":null,"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.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Survey of Visual Commonsense Generation Task\",\"authors\":\"Jinwoo Park, Junyeong Kim\",\"doi\":\"10.1109/ICEIC57457.2023.10049859\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":373752,\"journal\":{\"name\":\"2023 International Conference on Electronics, Information, and Communication (ICEIC)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Electronics, Information, and Communication (ICEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEIC57457.2023.10049859\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIC57457.2023.10049859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey of Visual Commonsense Generation Task
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信