Title
Integrating information theory and adversarial learning for cross-modal retrieval
Abstract
•Combining information theory and adversarial learning into an end-to-end framework.•Reducing the heterogeneity gap for cross-modal retrieval by reducing the measured modality uncertainty.•Introducing a term based on KL-divergence to address the data imbalance issue in visual and textual modality.
Year
DOI
Venue
2021
10.1016/j.patcog.2021.107983
Pattern Recognition
Keywords
DocType
Volume
Cross-modal retrieval,Shannon information theory,Adversarial learning,Modality uncertainty,Data imbalance
Journal
117
Issue
ISSN
Citations 
1
0031-3203
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Wei Chen11711246.70
Yu Liu219825.45
Erwin M. Bakker337841.20
Michael S. Lew42742166.02