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Questions about the provided pre-trained model on cifar-FS #19

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lanfenghuanyu opened this issue Apr 21, 2021 · 1 comment

lanfenghuanyu commented Apr 21, 2021

The provided pre-trained model on cifar-FS seems different from the other pre-trained models:

The num_classes is 64, however, the total class number is 100 so that num_class should be larger than 100, is that right?
The loss type seems to be 'softmax' rather than 'dist'?
Can we save novel features of cifar-FS using save_plk.py? But it seems that save_plk.py only saves features of mini-Imagenet and CUB?
Looking forward to the reply of the authors or anyone interested. Thank you.

0xC4FED6C7CCCE commented Oct 21, 2023 •

edited

yes，the loss type is softmax，This problem has been bothering me for a few days，Thanks！

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