bertinetto / r2d2 Goto Github PK

Hi, thank you for sharing these well-written codes!

When I ran experiments with default setting on CIFAR-FS dataset, I notice quite large performance gaps compared to the results reported in the paper (near 4% for both 5-shot and 1-shot configurations). For the default setting, I mean the setting described in scripts/train/conf/fewshots.yaml

I checked the setting described in the paper I think it's consistent with the default setting in the repo. If the default setting is not the optimal, could you provide the optimal settings for the three datasets?

Best regards

Thank you for your published code, it seems that the code does not contain the SGD learning part of CNN, alpha, beta and lambda. Could you talk about the implementation or release those operations? Thank you!

Dear author, I have seen the overlapping part of multiple value intervals in the paper, but I don't quite understand what this means. Could you please explain it?

Hi,

I am trying to run:

expm_folder=mini_lrd2_iter1
python run_train.py --data.cuda True --log.exp_dir $expm_folder --data.dataset miniimagenet --data.way 10 --data.test_way 5 --model.drop 0.1 --data.batch_size 200 --model.groupnorm False --train.learning$

And get the following error:

RuntimeError: expand(torch.cuda.FloatTensor{[140, 1]}, size=[140]): the number of sizes provided (1) must be greater or equal to the number of dimensions in the tensor (2)

Hi luca,
I set up the repo like that in readme.But when I goes to "Install the repo package: pip install -e .", my terminal says"-e option requires 1 argument". What does this mean?

When I run the ‘scripts/train/experiments.sh’ command, I get a ‘no run_train.py’ or 'No module named 'fewshots'' problem. Is it wrong with me running the directory? Or is it a directory structure problem with the code?

Hi, thank you so much for sharing the code!
The links for downloading miniImagenet and Omniglot are invalid (not the official ones).
Espicially for the miniImage one, how am I supposed to get the data as well as the txt files?
Thanks!

Dear author,“I meant they overlap when considering the ranges of performance between mean-confidence to mean+confidence.“According to your opinion，so what do you make of these sets of data？