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A survey of multi-modal learning theory.

Authors :
HUANG Yu
HUANG Longbo
Source :
Acta Scientiarum Naturalium Universitatis Sunyatseni / Zhongshan Daxue Xuebao; Sep2023, Vol. 62 Issue 5, p38-49, 12p
Publication Year :
2023

Abstract

Deep multi-modal learning, a rapidly growing field with a wide range of practical applica‐ tions, aims to effectively utilize and integrate information from multiple sources, known as modalities. Despite its impressive empirical performance, the theoretical foundations of deep multi-modal learning have yet to be fully explored. In this paper, we will undertake a comprehensive survey of recent devel‐ opments in multi-modal learning theories, focusing on the fundamental properties that govern this field. Our goal is to provide a thorough collection of current theoretical tools for analyzing multi-modal learn‐ ing, to clarify their implications for practitioners, and to suggest future directions for the establishment of a solid theoretical foundation for deep multi-modal learning. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20970137
Volume :
62
Issue :
5
Database :
Complementary Index
Journal :
Acta Scientiarum Naturalium Universitatis Sunyatseni / Zhongshan Daxue Xuebao
Publication Type :
Academic Journal
Accession number :
172336737
Full Text :
https://doi.org/10.13471/j.cnki.acta.snus.2023A022