mvp18 / popular-zsl-algorithms Goto Github PK
View Code? Open in Web Editor NEWPython Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol
License: MIT License
Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol
License: MIT License
Hi,
I want to run the code provided. However, the wget return an "Internal Server Error" when trying to download the file found at "datasets.d2.mpi-inf.mpg.de/xian/xlsa17.zip"
Is there an alternative location to obtain the file in question?
Thanks
I believe that line 112 of SJE/sje.py (replicated here) serves to normalize the projected image feature vector before taking its dot product with the class embeddings.
line 112: XW = preprocessing.scale(XW)
However, using this function normalizes the elements of the vector XW such that it has zero mean and unit variance, instead of scaling it by its L2 norm. This would then change the direction of XW itself, making the dot product meaningless.
Should this be changed to the following?
line 112: XW = XW / np.linalg.norm(XW)
What's surprising to me is that decent results are achieved even with the original version. I tested a few hyperparameter configs with the new code (by no means the full grid search), and achieved similar results on AWA2 with a lower margin of 0.25 (makes sense given that it now actually has unit norm).
Could you please provide the file of xlsa17.zip? Thank you!
Hi, I would like to know how the 'att_splits.mat ' file in the xlsa17 file is formed, can you provide the exact code or link?
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