Skip to content

Multi-Teacher Knowledge Distillation for Super Resolution Image Reconstruction; accepted by ICPR 2022

Notifications You must be signed in to change notification settings

lizhangray/MTKDSR

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MTKDSR

Multi-Teacher Knowledge Distillation for Super Resolution Image Reconstruction

Run

# test
python main.py --Train False --model_name RFDN --checkpoint MTKDSR.pth
# you can set the test datasets in the main.py too.

Citing

The code is free for academic/research purpose. Please kindly cite our work in your publications if it helps your research.

@article{
  title={Multi-Teacher Knowledge Distillation for Super Resolution Image Reconstruction.},
  author={G. Yao, Z. Li, B. Bhanu, Z. Kang, Z. Zhong, Q. Zhang},
  conference={The 26th International Conference on Pattern Recognition (ICPR)},
  year={2022}
  link={DOI:10.1109/ICPR56361.2022.9956250}
}

Example

Comparison

Page Views Count

About

Multi-Teacher Knowledge Distillation for Super Resolution Image Reconstruction; accepted by ICPR 2022

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published