Co-attention graph convolutional network for visual question answering

Chuan Liu; Ying-Ying Tan; Tian-Tian Xia; Jiajing Zhang; Ming Zhu

doi:10.1007/s00530-023-01125-7

ScienceGate Book Chapters

JOURNAL ARTICLE

Co-attention graph convolutional network for visual question answering

Chuan Liu Ying-Ying Tan Tian-Tian Xia Jiajing Zhang Ming Zhu

Year: 2023 Journal: Multimedia Systems Vol: 29 (5)Pages: 2527-2543 Publisher: Springer Science+Business Media

DOI: 10.1007/s00530-023-01125-7

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Question answering Graph Convolutional neural network Artificial intelligence Visualization Attention network Hash function Representation (politics) Set (abstract data type) Machine learning Theoretical computer science Information retrieval Pattern recognition (psychology)

Metrics

Cited By

1.82

FWCI (Field Weighted Citation Impact)

Refs

0.82

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Co-attention graph convolutional network for visual question answering

Metrics

Citation History

Topics

Related Documents

Dynamic Co-attention Network for Visual Question Answering

Relation-Aware Graph Attention Network for Visual Question Answering

Co-Attention Network With Question Type for Visual Question Answering

Aligned Dual Channel Graph Convolutional Network for Visual Question Answering

Causality guided co-attention network for visual question answering