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Did you use 80*80 images for mini-Imagenet dataset? #4

Closed hyoje42 closed 4 years ago

hyoje42 commented 4 years ago

Hi. Thanks for sharing your code. Your paper and code help a lot for me. I have some questions.

  1. Did you use 8080 images for mini-Imagenet dataset? I read your code, so I thought you used 8080 cropped image for mini-Imagenet, but I want to clarify it. From the issue at 'A Closer Look At Fewshot', Chen, https://github.com/wyharveychen/CloserLookFewShot/issues/20 I think that Chen used 224224 images for experiments that use Resnet as backbone. (I thought it is unfair to other papers, because original mini-Imagenet dataset consists of 8484 images. If I were wrong, please correct me)

  2. Where can you get the results on CIFAR dataset over Baseline++ with WRN-28-10 as backbone? Chen did not use WRN-28-10 and CIFAR dataset, as far as I know. Did you get the results by yourself? Also I found that the reported accuracy little bit different from Chen's results. For the mini-Imagenet dataset(5shot-5way), 76.16+-0.63 from Chen, but 74.14+-0.19 from yours. In your paper, did you get baseline++'s results by yourself?

Thanks, in advance.

nupurkmr9 commented 4 years ago

Hi,

  1. Yes, we use 80x80 crop from 84*84 resized images for mini-Imagenet as is recommended in previous literature.
  2. We ran baseline++ method by ourselves on all datasets including CIFAR.

Thanks

zwd973 commented 2 years ago

When I use ResNet18 as the backbone with a 80x80 input, it produce a error: image

it seems the code is not correct, so how to reproduce your result when taking as input a 80x80 image but 224x224? @nupurkmr9

Dracula-funny commented 7 months ago

When I use ResNet18 as the backbone with a 80x80 input, it produce a error: image

it seems the code is not correct, so how to reproduce your result when taking as input a 80x80 image but 224x224? @nupurkmr9

Have you solved this problem?

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