Further adaptation of meta learning methods on the support set

[skeletondyh]

Hi,

Thanks for sharing the code. I have two questions:

1. Can finetune.py also finetune features learned by meta learning methods (e.g. ProtoNet)?

2. I notice there is a command option --adaptation to adapt meta-learned features on the support set. And when I run:

       python test_with_saved_features.py --method protonet --dataset EuroSAT --n_shot 50 --train_aug --adaptation
   

I get 88.82% +- 0.46% which is much higher than what is reported in Table 1 ( 80.48% ± 0.57%). Further adaptation also brings improvement to ProtoNet on other datasets. Have you tried this option?

Thanks.