Skip to content

Latest commit

 

History

19 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

GFDA: Unsupervised Domain Adaptation using Advanced Fourier Style Transfer via Multivariate Gaussian Mask (Outstanding Paper Award at IPIU 2024)

스크린샷 2024-01-11 오후 5 38 35

Download and replace the empty dataset folder. You can access dataset in https://drive.google.com/file/d/1-ACwZnlhWbhfT_6BXQWiD0DthZOh7w1L/view?usp=drive_link

You can use code two version.

  1. Using train.py and test.py
  2. Using gfda_ipynb_version.ipynb

The code contents are same, with only the execution environment being different.

About

GFDA: Unsupervised Domain Adaptation using Advanced Fourier Style Transfer via Multivariate Gaussian Mask

Resources

Stars

1 star

Watchers

2 watching

Forks

Releases

Packages

Contributors

Languages