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Code for Paper "Memory Oriented Transfer Learning for Semi-Supervised Image Deraining"
We provide the model trained on DDN-SIRR dataset in the following links:
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.
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.
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining