Code implementation of ICLR 2023 paper entitled "Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification"

English version:

We firstly release the code of training with Cross-Level Distillation (CLD)

Train the model with the command:

python oho.py --dir tmp/dir_you_want --target_dataset EuroSAT --target_subset_split splits/EuroSAT_unlabeled_20.csv --alpha 2 --bsize 32 --coef 1

BTW, if you want to Train the SimCLR baseline, just modify the line 260 in methods/student9.py by removing the distillation loss. We will release the formal code soon!

Releasing the code of testing stage, including Feature Denoising (FD). We are really sorry that we are still sorting. If you are in a hurry, you can also contact me in advance by sending emails to me. You are always welcome to contact us!!!

中文版：

我们首先开源了训练Cross-Level Distillation (CLD)的代码

你只需要：

python oho.py --dir tmp/dir_you_want --target_dataset EuroSAT --target_subset_split splits/EuroSAT_unlabeled_20.csv --alpha 2 --bsize 32 --coef 1

如果你想训练SimCLR baseline的话，只需要修改methods/student9.py中第260行，把蒸馏loss去掉就可以了。后续我们也会开放正式的代码！！！

开放测试阶段的代码，包括Feature Denoising (FD). 我很抱歉我们还在整理！如果你着急的话，也可以给我发邮件。随时欢迎交流沟通！！！