A Novel Multimodal Generative Learning Model based on Basic Fuzzy Concepts

Author:

Sheng Huankun,Mo HongweiORCID,Zhang Tengteng

Publisher

Springer Science and Business Media LLC

Reference55 articles.

1. Kingma DP, Rezende DJ, Mohamed S, Welling M. Semi-supervised learning with deep generative models. In: Advances in neural information processing systems; 2014. pp. 3581–3589.

2. Kulkarni TD, Whitney W, Kohli P, Tenenbaum JB. Deep convolutional inverse graphics network. In: Advances in neural information processing systems; 2015.pp. 2539–2547.

3. Yan X, Yang J, Sohn K, Lee H. Attribute2image: conditional image generation from visual attributes. In: European conference on computer vision; 2016. pp. 776–791.

4. Larsen ABL, Sønderby SK, Larochelle H, Winther O. Autoencoding beyond pixels using a learned similarity metric.arXiv preprint. 2015. arXiv:1512.09300.

5. Li Y, Ouyang W, Zhou B, Shi J, Zhang C, Wang X. Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation. In: European conference on computer vision; 2018. Pp. 335–351.

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