Hierarchical Attention Networks for Fact-based Visual Question Answering

Haibo Yao; Yongkang Luo; Zhi Zhang; Jianhang Yang; Chengtao Cai

doi:10.1007/s11042-023-16151-w

ScienceGate Book Chapters

JOURNAL ARTICLE

Hierarchical Attention Networks for Fact-based Visual Question Answering

Haibo Yao Yongkang Luo Zhi Zhang Jianhang Yang Chengtao Cai

Year: 2023 Journal: Multimedia Tools and Applications Vol: 83 (6)Pages: 17281-17298 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-023-16151-w

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Question answering Task (project management) Attention network Embedding Artificial intelligence Layer (electronics) Encoding (memory) Image (mathematics) Modalities Information retrieval Machine learning

Metrics

Cited By

0.55

FWCI (Field Weighted Citation Impact)

Refs

0.60

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

Hierarchical Attention Networks for Fact-based Visual Question Answering

Metrics

Citation History

Topics

Related Documents

Question Answering with Hierarchical Attention Networks

FVQA: Fact-Based Visual Question Answering

Hierarchical Question-Image Co-Attention for Visual Question Answering

Sparse co-attention visual question answering networks based on thresholds

Visual Question Answering Based on Question Attention Model