CompVis metric-learning-divide-and-conquer issues - Githubissues

CompVis / metric-learning-divide-and-conquer

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

GNU Lesser General Public License v3.0

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'_SingleProcessDataLoaderIter' object has no attribute 'next'

#13 LUCASDNORONHA opened 1 year ago
0
AttributeError: '_SingleProcessDataLoaderIter' object has no attribute 'dataset'

#12 Roberto7766 closed 4 years ago
2
How can I try own dataset

#11 jackft2 opened 4 years ago
0
is the algorithm of calculating recall@k metrics correct?

#10 JasonKll opened 4 years ago
1
freezing trainable parameters of other learners while training one separate learner

#9 andre1q closed 4 years ago
4
correction for the code

#8 SidraHanif180 opened 4 years ago
3
why after the first epoch model still cluster with 2048D not 128D?

#7 lironghua318 closed 5 years ago
1
how to recreate results of CUB200-2011 as mentioned in the paper? what are the hyperparameters needed to recreate the result?

#6 euwern closed 5 years ago
1
Why the need to divide feature space into d/K

#5 avn3r-dn closed 5 years ago
5
Can this code run on multiple GPUs?

#4 lxc86739795 closed 5 years ago
3
Symbol ')' is placed in the wrong location

#3 jinzhao1522 opened 5 years ago
2
How to get the same performance on CUB and Car as your paper? Is there something should be taken care of ?

#2 bnu-wangxun closed 5 years ago
1
Undefined name '_sz_features' in ./lib/model.py

#1 cclauss opened 5 years ago
3