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I tried to implement the loss layer using python you mentioned in the paper (eq(11)), however I have no idea how the diff should look like, because usually there will be three diffs for anchors/positives/negatives. Can you please provide the sample using only feats and labels as inputs?
Thanks!
The text was updated successfully, but these errors were encountered:
At line 429 in train.lua, I used organize_samples() function to organize triplets given the feats and labels. The outputs are triplet and triplet index for eq(11). You can take the function organize_samples function as a reference if you plan to reimplement by python.
Hi,
I tried to implement the loss layer using python you mentioned in the paper (eq(11)), however I have no idea how the diff should look like, because usually there will be three diffs for anchors/positives/negatives. Can you please provide the sample using only feats and labels as inputs?
Thanks!
The text was updated successfully, but these errors were encountered: