no code implementations • 30 Nov 2018 • Yexun Zhang, Ya zhang, Yan-Feng Wang, Qi Tian
Unsupervised domain adaption aims to learn a powerful classifier for the target domain given a labeled source data set and an unlabeled target data set.
1 code implementation • 13 Jun 2018 • Yexun Zhang, Ya zhang, Wenbin Cai
The encoders are expected to capture the underlying features for different styles and contents which is generalizable to new styles and contents.
1 code implementation • CVPR 2018 • Yexun Zhang, Ya zhang, Wenbin Cai, Jie Chang
We here attempt to separate the representations for styles and contents, and propose a generalized style transfer network consisting of style encoder, content encoder, mixer and decoder.