Awesome
Co-advise
This is the official implementation of CVPR2022 paper "Co-advise: Cross Inductive Bias Distillation"
Prepare
Install RedNet following https://github.com/d-li14/involution
Install the rest packages following https://github.com/microsoft/Swin-Transformer
Training
bash train.sh
Noted that mix precision should be closed, because involution is not supported.
Pretrained Model
The checkpoints can be found at Goolge Drive
Citation
@InProceedings{Ren_coadvise_2022_CVPR,
author = {Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao},
title = {Co-advise: Cross Inductive Bias Distillation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2022},
}
If you have any questions, feel free to email Sucheng Ren :) (oliverrensu@gmail.com)