hhb072 / moss

Memory Oriented Transfer Learning for Semi-Supervised Image Deraining

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:

• Google Driver
• Jianguo Yun

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.

moss's Issues

数据读取

请问这篇论文的主题是图像去雨，但是读取数据时似乎并没有加载ground truth，这是为什么

The training code will be released later.It's hard to wait

The training code will be released later.It's hard to wait

Hello author! I am very interested in this self-training mechanism, can you provide the training code please?

requirements

can you load your requirements file or dependencies

Look foreword to the code

Good job ！！！

Look foreword to the code！

Can you release train code,Thank you!

Can you release train code,Thank you!

How long for training the model?

Hello, authors. I really appreciate your nice work on image draining. I would like to know how long it took to converge your model. Are you using a single GPU for both training and testing?
Thanks in advance.

Excuse me，where is Appendix A

More details about the network architectures are in Appendix A.

Excuse me，where is Appendix A

train code 没后续了？？？

train code 没后续了？？？

about the code

I just want to konw if the code is intact

train code

Hello, Your work is very good, Thanks for it. I’m interested in this work. When will you upload your train code.