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Knowledge-based visual question classification using quaternion hypergraph consistent network

delete2026-01-13
delete0
PRE
AI
J
Jing Wang
D
Duantengchuan Li
X
Xu Du
H
Hao Li
Z
Zhuang Hu
DOI：10.1016/j.ipm.2025.104591delete
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摘要

摘要

En 中文
• 提出了一种四元数超图一致网络，用于整合三种精细粒度属性。 • 设计了独立性损失，使文本特征和视觉特征保持模态特异且彼此区分。 • 提出了知识一致性损失，用于约束文本知识特征和视觉知识特征。 • 实验结果表明，我们的方法在性能上优于现有主流方法。

期刊

I
INFORMATION PROCESSING & MANAGEMENT
IF:
6.9
论文数:
562
被引数:
0

机构

W
Wuhan University
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5.0K
论文数: 1.7K
被引数: 10.0W
C
Central China Normal University
学者数:
1.1W
论文数: 8.1K
被引数: 1.1W
C
Chongqing University of Posts and Telecommunications
学者数:
2.5K
论文数: 980
被引数: 3.8K
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