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Hyperspherical Prototype Networks
Hi, thanks for the nice repo and very interesting paper!
I am trying to recompute the prototypes on CIFAR100 with privileged information, using the following command:
python prototypes.py -c 100 -d 50 -r prototypes/sgd-sem/ -w wtv/cifar100_wtvvectors.npy
but I get this error:
Traceback (most recent call last): File "prototypes.py", line 95, in <module> nns.append(sorder[:args.nn]) AttributeError: 'Namespace' object has no attribute 'nn'
And it seems indeed that argument nn
is not defined anywhere...
What version of python and torch should we use?
Hi!Can you post pre-trained code on github? The download link only contains npy files. Thank you.
Hi. If I want to use the wtvfile, where can I get it? Thanks a lot!
Q1:
I find the elements in nns
and others
is useless in the triplets
collection
`
for i in xrange(wtvv.shape[0]):
for j in xrange(len(nns[i])):
for k in xrange(len(others[i])):
triplets.append([i,j,i,k])
triplets = np.array(triplets).astype(int)
`
Q2:
The implementation of prototype_loss_sem
is different from L_{PI} in the paper. Is this a trick? Could you explain how it works?
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