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How to make prediction for a single image using your pre-trained model?
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In the n-way k-shot( k>1) setting, the attended features of the support set are computed by summing k attended features, which are influenced by the query set. I wonder whether it is an inductive or t…
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Hi, your work is wonderful! Thank you for the detailed and neat code!
I have some questions about the code.
About the network:
1. I'm a bit confused about the network structure of ResNet12, it s…
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MeTAL is an inspiring effort for meta learning !!
I want to understand some details in your work:
1. Is the `generated_alpha_params` and `generated_beta_params` represent the `\gamma` and `\beta` …
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Does anyone successfully reproduce the results? I ran several times but the results are far away from the author's. My results are attached.
![image](https://user-images.githubusercontent.com/2242502…
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Hi,
Thanks a lot for this awesome repo ! Just dropping a small note to say the paper "Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?" has been accepted …
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Hello, About this challege, 15 query samples of each category can be used for unsupervised training in each episode??
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In train_lshot.py, you evaluate the accuracy in an "unnatural" way. However, I don't understand what do you mean in the notation that "the labels L1 and L2 may be different"?
L1 is the test label,…
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Thank you for your project.
I'd like to know how do you distinguish a few-shot learning method from an inductive one or a transductive one? Is there a clear distinction between these two settings in…
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Greetings!
I found your paper _Transductive Few-shot Learning with Meta-Learned Confidence_ on arXiv 2002.12017 (which is quite a fascinating idea), and followed the link in it and was redirected to …