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HVLM: Exploring Human-Like Visual Cognition and Language-Memory Network for Visual Dialog

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成果类型:
期刊论文
作者:
Sun, Kaili;Guo, Chi;Zhang, Huyin;Li, Yuan
通讯作者:
Chi Guo<&wdkj&>Huyin Zhang
作者机构:
[Sun, Kaili; Zhang, Huyin] Wuhan Univ, Sch Comp Sci, Wuhan 430072, Peoples R China.
[Guo, Chi] Wuhan Univ, Inst Artificial Intelligence, Sch Comp Sci, Wuhan 430072, Peoples R China.
[Guo, Chi] Wuhan Univ, Luojia Lab, Wuhan 430072, Peoples R China.
[Li, Yuan] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.
通讯机构:
[Chi Guo] I
[Huyin Zhang] S
School of Computer Science, Wuhan University, Wuhan 430072, China<&wdkj&>Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan 430072, China<&wdkj&>Luojia Laboratory, Wuhan University, Wuhan 430072, China
语种:
英文
关键词:
Dual-perspective reasoning;Simple spectral graph convolution network;Visual Dialog;Visual-language understanding
期刊:
Information Processing & Management
ISSN:
0306-4573
年:
2022
卷:
59
期:
5
页码:
103008
基金类别:
This work was supported in part by The National Key Research and Development Program of China under Grant no. 2018YFB1305001 , The Major Science and Technology Project of Hubei Province under Grant no. 2021AAA010 , and The National Social Science Fund of China under Grant no. 18BYY174 .
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
Visual dialog, a visual-language task, enables an AI agent to engage in conversation with humans grounded in a given image. To generate appropriate answers for a series of questions in the dialog, the agent is required to understand the comprehensive visual content of an image and the fine-grained textual context of the dialog. However, previous studies typically utilized the object-level visual feature to represent a whole image, which only focuses on the local perspective of an image but ignores the importance of the global information in an ...

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