Confusezius/Revisiting_Deep_Metric_Learning_PyTorch
(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
PythonMIT
Issues
- 0
The split of the Stanford Cars dataset.
#21 opened by ppanzx - 0
how to eval without wandb
#20 opened by Chaoran-F - 4
Inconsistency between paper results & wandb runs
#18 opened by Syuf1514 - 2
Multi-GPU support?
#15 opened by deeptek012 - 0
- 0
Bug?
#9 opened by interestingzhuo - 4
About the implementation of ArcFace
#13 opened by mikiyukio - 0
About the implementation of ArcFace
#12 opened by mikiyukio - 2
`beta_regularisation_loss` undefined
#11 opened by mmcdermott - 1
BUG
#10 opened by interestingzhuo - 5
Role of "mode" in rho-spectrum
#8 opened by kdwonn - 2
Segmentation fault (core dumped)
#7 opened by interestingzhuo - 1
BUG?
#6 opened by interestingzhuo - 1
missing attributes in multisimilarity.py
#5 opened by HRamses - 13
New metric: mAP@R
#4 opened by sudalvxin - 11
Small batchsize
#3 opened by sudalvxin - 3
Unsupervised setting
#2 opened by TheodoreGalanos - 2