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 Chen | 1 | 1711 | 246.70 |
Yu Liu | 2 | 198 | 25.45 |
Erwin M. Bakker | 3 | 378 | 41.20 |
Michael S. Lew | 4 | 2742 | 166.02 |