Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Moss

Code for Paper "Memory Oriented Transfer Learning for Semi-Supervised Image Deraining"

Prerequisites

  • Python 3
  • PyTorch

Models

We provide the model trained on DDN-SIRR dataset in the following links:

Run

 CUDA_VISIBLE_DEVICES=0 python test.py --config_file='test.yaml'

Adjust the parameters in 'test.yaml' according to your own settings. Please goto the 'train' folder for the training code.

Citation

If you use our codes, please cite the following paper:

 @inproceedings{huang2021memory,
   title={Memory Oriented Transfer Learning for Semi-Supervised Image Deraining},
   author={Huang, Huaibo and Yu, Aijing and He, Ran},
   booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition},
   pages={7732--7741},
   year={2021},
  }

The released codes are only allowed for non-commercial use.

About

Memory Oriented Transfer Learning for Semi-Supervised Image Deraining

Topics

Resources

Stars

28 stars

Watchers

3 watching

Forks

Releases

Packages

Contributors

Languages