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Multi-Modal Representation via Contrastive Learning with Attention Bottleneck Fusion and Attentive Statistics Features
The integration of information from multiple modalities is a highly active area of research. Previous techniques have predominantly focused on fusing shallow features or high-level representations generated by deep unimodal networks, which only capture a subset of the hierarchical relationships acro...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606612/ https://www.ncbi.nlm.nih.gov/pubmed/37895542 http://dx.doi.org/10.3390/e25101421 |