Multimodal deep generative adversarial models for scalable doubly semi-supervised learning
Inf. Fusion, pp. 118-130, 2021.
Abstract The comprehensive utilization of incomplete multi-modality data is a difficult problem with strong practical value. Most of the previous multimodal learning algorithms require massive training data with complete modalities and annotated labels, which greatly limits their practicality. Although some existing algorithms can be us...More
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