基于深度语义匹配的不完整多模态数据融合算法分析
Analysis of Incomplete Multimodal Data Fusion Algorithm Based on Deep Semantic Matching
夏之罡 1陆文彪 1叶盛 1王骏永1
作者信息
- 1. 丽水正好电力实业集团有限公司,浙江 323000
- 折叠
摘要
阐述针对深度学习网络中深层语义特性的分析,提出不完整多模态数据融合方法,借助多模态的高层语义,构建一个统一的深度学习模型,既可以融合模态私有深度网络,又可以共享模态特征.
Abstract
This paper the analysis of deep semantic characteristics in deep learning networks,proposes an incomplete multimodal data fusion method,and utilizes the high-level semantics of multimodality to construct a unified deep learning model,which can integrate modal private deep networks and share modal features.
关键词
深度学习网络/多模态数据/智能算法Key words
deep learning networks/multimodal data/intelligent algorithms引用本文复制引用
出版年
2024
NETL
NSTL
万方数据