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S_pp=torch.einsum('ki,bi->bik',self.att,S_p) # compute the final prediction as the product of semantic scores, attribute scores, and attention over attribute scores
are totally different to Eq. 6 and subsequent PHI(x_i).
line 238-242 do not calculate the l2 distance in the right way. Line 245-249 change the predictions to probabilities by F.softmax(), and the JSD eqution in the paper is wrong.
Could you please give some explanation about these mismatches, and correct the wrong code and equations?
Thanks.
The text was updated successfully, but these errors were encountered:
Hello,
Really thank you for releasing the code. However, I find several obvious mismatches between the code and the paper, and I also find some error.
MSDN/core/MSDN.py
Line 316 in ec3598b
MSDN/core/MSDN.py
Line 376 in ec3598b
MSDN/core/MSDN.py
Line 380 in ec3598b
MSDN/core/MSDN.py
Line 393 in ec3598b
MSDN/core/MSDN.py
Line 202 in ec3598b
MSDN/core/MSDN.py
Line 177 in ec3598b
MSDN/core/MSDN.py
Line 237 in ec3598b
Could you please give some explanation about these mismatches, and correct the wrong code and equations?
Thanks.
The text was updated successfully, but these errors were encountered: