Name
Abstract | ||
|---|---|---|
•A novel deep cycle-consistent embedding network (CycleMatch) for image-text matching.•Maintain both inter-modal correlations and intra-modal consistency.•Late-fusion approaches to efficiently integrate the matching scores of multiple embedding features.•Competitive with the state-of-the-art performance on two well-known multimodal benchmarks. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patcog.2019.05.008 | Pattern Recognition |
Keywords | Field | DocType |
Image-text matching,Embedding,Deep neural networks,Late-fusion inference | Feature vector,Embedding,Network complexity,Video retrieval,Inference,Bridging (networking),Artificial intelligence,Artificial neural network,Semantics,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
93 | 1 | 0031-3203 |
Citations | PageRank | References |
3 | 0.44 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Liu | 1 | 12 | 1.27 |
| Yanming Guo | 2 | 128 | 13.06 |
| Li Liu | 3 | 733 | 50.04 |
| Erwin M. Bakker | 4 | 378 | 41.20 |
| Michael S. Lew | 5 | 2742 | 166.02 |