Skip to content
/ DSR Public
forked from DMIRLAB-Group/DSR

The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)

Notifications You must be signed in to change notification settings

wpf89928/DSR

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 

Repository files navigation

Source code of 'Learning Disentangled Semantic Representation for Domain Adaptation'

enviroment: python 2.7
tensorflow-gpu==1.12.0
numpy==1.13.0

1.Download Office-Home ResNet-50 pretrained features at https://pan.baidu.com/s/1qvcWJCXVG8JkZnoM4BVoGg

2.run python office_home_dsr.py

Citation

If you find this useful for your research, we would be appreciated if you cite the following papers:

@inproceedings{ijcai2019-285,
  title     = {Learning Disentangled Semantic Representation for Domain Adaptation},
  author    = {Cai, Ruichu and Li, Zijian and Wei, Pengfei and Qiao, Jie and Zhang, Kun and Hao, Zhifeng},
  booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on
               Artificial Intelligence, {IJCAI-19}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},             
  pages     = {2060--2066},
  year      = {2019},
  month     = {7},
  doi       = {10.24963/ijcai.2019/285},
  url       = {https://doi.org/10.24963/ijcai.2019/285},
}

About

The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%