search

gitabcworld / MatchingNetworks

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
Other
328 stars 81 forks source link

Problem of the “full context embeddings” implement #4

Open cultivater opened 6 years ago

cultivater commented 6 years ago

First thank you for your code. But I am puzzled about your “full context embeddings” implementation. In the paper, the process of g' and f' are different, but you just stacked g' and f' and put them into a LSTM. Perhaps this is why the accuray is low under miniImagenet ,I think?

sunbear616 commented 5 years ago

I face the same question, I don't know why, but most pytorch code, they all do not implemente the same both g' and f', just use g I think

sunbear616 commented 5 years ago

Do you implement this part? may I see your code?

AugusYaoI commented 4 years ago

I also want to ask the same question. I doubt if this code is consistent with the paper. I hope the author of this code can answer this question.