Cargando…
Cross-Modal Search for Social Networks via Adversarial Learning
Cross-modal search has become a research hotspot in the recent years. In contrast to traditional cross-modal search, social network cross-modal information search is restricted by data quality for arbitrary text and low-resolution visual features. In addition, the semantic sparseness of cross-modal...
Autores principales: | Zhou, Nan, Du, Junping, Xue, Zhe, Liu, Chong, Li, Jinxuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369674/ https://www.ncbi.nlm.nih.gov/pubmed/32733547 http://dx.doi.org/10.1155/2020/7834953 |
Ejemplares similares
-
Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration
por: Han, Tingting, et al.
Publicado: (2022) -
Depth Map Upsampling via Multi-Modal Generative Adversarial Network
por: Tan, Daniel Stanley, et al.
Publicado: (2019) -
Analysis and Validation of Cross-Modal Generative Adversarial Network for Sensory Substitution
por: Kim, Mooseop, et al.
Publicado: (2021) -
Semantic consistency generative adversarial network for cross-modality domain adaptation in ultrasound thyroid nodule classification
por: Zhao, Jun, et al.
Publicado: (2022) -
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training
por: Nguyen, Harrison, et al.
Publicado: (2020)