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I have tried FCN pyramid structure 5,2,1 in the paper, but the accuracy on miniImagenenet is still 65.5%.
Besides, acc on tiered imagenet is 70.6%(2% lower), 72.8%(2% lower) on CIFAR-FS, 45.7% on FC100(1% lower) and 76.6%(0.5% lower).
I used raw code and keep the pyramid FCN as 5,2,1, all the results are lower than paper.
The text was updated successfully, but these errors were encountered:
I mean the results on the arxiv paper. Are the results on the table 7 trained with the auxiliary loss?
Germany321
changed the title
Still can't reproduce the acc 66.5% in mini-imagenet
All the results are lower than paper with the default settings and feature pyramid 5,2,1
May 2, 2022
I have tried FCN pyramid structure 5,2,1 in the paper, but the accuracy on miniImagenenet is still 65.5%.
Besides, acc on tiered imagenet is 70.6%(2% lower), 72.8%(2% lower) on CIFAR-FS, 45.7% on FC100(1% lower) and 76.6%(0.5% lower).
I used raw code and keep the pyramid FCN as 5,2,1, all the results are lower than paper.
The text was updated successfully, but these errors were encountered: