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The reported accuracy in our paper and README file in github repository is 71.8%.
We post the evaluation process in detail as follows. (2022/4/6, by Yong Feng)
Test? y/n
y
Load Model successfully from [G:\model_save\meta_learning\CNN\cnn_ft\5shot\cnn_ft_C30_ep50]...
x shape: (10, 200, 1, 1024), y shape: (10, 200)
Acc: 0.7180, Loss: 1.2492
*** Testing time: 1.2068 (s) ***
Load Model successfully from [G:\model_save\meta_learning\CNN\cnn_ft\5shot\cnn_ft_C30_ep72]...
4-ways, 5-shots for testing ...
x shape: (4, 5, 1, 1024), y shape: (4, 5)
x shape: (4, 200, 1, 1024), y shape: (4, 200)
Acc: 0.8238, Loss: 0.5628
*** Testing time: 3.6451 (s) ***
Load Model successfully from [G:\model_save\meta_learning\CNN\cnn_ft\5shot\cnn_ft_C30_ep72]...
4-ways, 1-shots for testing ...
x shape: (4, 1, 1, 1024), y shape: (4, 1)
x shape: (4, 200, 1, 1024), y shape: (4, 200)
Acc: 0.5950, Loss: 1.0441
*** Testing time: 3.6962 (s) ***
For better validation, we post All model weights here. We stated this in README file.
The text was updated successfully, but these errors were encountered:
The reported accuracy in our paper and README file in github repository is 71.8%.
We post the evaluation process in detail as follows. (2022/4/6, by Yong Feng)
For better validation, we post All model weights here. We stated this in README file.
The text was updated successfully, but these errors were encountered: