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Excuse me,you mentioned it in the script_PN_AFHN_1_tf1_ar1_noBN_noPro.sh about the AFNH. Is the AFNH model in the "Adversarial Feature Hallucination Networks for Few-Shot Learning" paper?
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I am not able to find out how class overlap between train and test data is being maintained. Typically in few shot learning evaluation, few classes are never shown to the model, and on test time we ev…
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# Few-shot learning（少样本学习）
[https://lazurite.vercel.app/%E5%B0%91%E6%A0%B7%E6%9C%AC%E5%AD%A6%E4%B9%A0](https://lazurite.vercel.app/%E5%B0%91%E6%A0%B7%E6%9C%AC%E5%AD%A6%E4%B9%A0)
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See section 4.2, second bullet point, of the initial project proposal:
https://ai-on.org/pdf/larochelle-few-shot-distribution-learning.pdf
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Hi,
I have train and test data for few classes and I want to apply few shot learning to it. How I can prepare my data for Torch-meta to train?
And Finally After model gets trained how I can get i…
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Hello, first great work!
I am trying to re-implement this paper in Pytorch! And I know this codebase is based on the official meta-transfer learning implementation (https://github.com/yaoyao-liu…
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Hi there.
I well read uploaded source code. I found you set k-shot masked sample with k-'image' not 'instance'.
It might be okay that there is binary mask for input of PRN.
But the same k-'image' i…
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Thanks for your work, in your experiments, 'num_queries' is set to 1 in stead of 15. Does it meet the standard few-shot learning setting ? @zsc @zxytim
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### Describe the bug
Engine's training entrypoint runs validation and test without checking whether validation and tests contain samples.
### Dataset
Folder
### Model
PADiM
### Steps to repr…