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29 Open 20 Closed
29 Open 20 Closed
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Issues list

Result Analysis Request
#54 opened Nov 3, 2022 by vawelra
BUG in preprossing image
#53 opened Nov 7, 2021 by gnipping
About the implementation of 'lr_mul' trick
#52 opened Mar 12, 2021 by mikiyukio
About Binomial loss hyper-parameter alpha & beta
#50 opened Jul 13, 2020 by DJacobJiang
4
Getting Epoch-600 0.7719 0.8504 0.9052 0.9451 0.9701 0.9847 with Binomial on Cars196
#49 opened Jun 12, 2020 by LinkToPast1990
1
Processed SOP and In-Shop dataset
#48 opened Jun 12, 2020 by LinkToPast1990
1
XBM code regarding
#43 opened Jan 2, 2020 by tejavoo
9
Do different pre-trained models have a big impact
#38 opened Aug 7, 2019 by marongxing
4
modified lifted loss
#37 opened Aug 6, 2019 by JasAva
1
About the hyper parameters
#33 opened Jun 6, 2019 by justyouforeverml
when I load the pretrained_model, the shape of weights always mismatch
#31 opened Apr 17, 2019 by garyliu0816
2
About the Binomial Deviance Loss
#30 opened Apr 11, 2019 by Jeff-Zilence
3
problem about the result
#29 opened Mar 29, 2019 by SimonLliu
5
Where to download your paper?
#27 opened Mar 19, 2019 by wuyun8210
13
TypeError: unsupported format string passed to Variable.__format__
#25 opened Mar 12, 2019 by zyyhl
3
For the losses in your code
#23 opened Feb 13, 2019 by themis0888
1
Hyperparams for npair and nca
#22 opened Jan 21, 2019 by ifeherva
1
Can share the super parameters to reproduce the result on CUB-200-2011?
#21 opened Jan 9, 2019 by bjkite
5
Accuracy is always zero
#20 opened Jan 9, 2019 by LXYTSOS
4
Can you provide detail about how to run the code
#19 opened Dec 24, 2018 by hongxin001
1
why use a alpha in NCALoss ?
#14 opened Nov 18, 2018 by Andrewymd
2
trainloader issues
#12 opened Oct 17, 2018 by CandiceUIC
5
CUB dataset train.txt and test.txt file issues
#11 opened Sep 20, 2018 by CandiceUIC
6
What is MCA loss? Is it same as NCA?
#10 opened Jun 5, 2018 by anandmishra22
1
Using resnet50 as base network
#8 opened Apr 23, 2018 by yulu0724
1
ProTip! Adding no:label will show everything without a label.