Unsupervised Domain Adaptation for Facial Expression Recognition Using Generative Adversarial Networks

In the facial expression recognition task, a good-performing convolutional neural network (CNN) model trained on one dataset (source dataset) usually performs poorly on another dataset (target dataset). This is because the feature distribution of the same emotion varies in different datasets. To imp...

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Detalles Bibliográficos
Autores principales: Wang, Xiaoqing, Wang, Xiangjun, Ni, Yubo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077544/
https://www.ncbi.nlm.nih.gov/pubmed/30111995
http://dx.doi.org/10.1155/2018/7208794

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077544/
https://www.ncbi.nlm.nih.gov/pubmed/30111995
http://dx.doi.org/10.1155/2018/7208794

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