Multi-View Transformation via Mutual-Encoding InfoGenerative Adversarial Networks

Multi-View Transformation via Mutual-Encoding InfoGenerative Adversarial Networks

The problem of multi-view transformation is associated with transforming available source views of a given object into unknown target views. To solve this problem, a Mutual-Encoding InfoGenerative Adversarial Networks (MEIGANs)-based algorithm is proposed in this paper. A mutual-encoding representat...

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Bibliographic Details
Main Authors: Liang Sun, Wenjing Kang, Yuxuan Han, Hongwei Ge
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Multi-view learning
generative model
unsupervised learning
generative adversarial networks
Online Access:https://ieeexplore.ieee.org/document/8383683/

Internet

https://ieeexplore.ieee.org/document/8383683/

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