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hyperconnect
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LADE
This repository contains code for the paper "Disentangling Label Distribution for Long-tailed Visual Recognition", published at CVPR' 2021
https://arxiv.org/abs/2012.00321
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How to produce Figure1
#19
likanchuan
closed
2 years ago
1
Could you provide the pretrain models?
#18
liming-ai
closed
2 years ago
1
Some questions about reproducing the results of PC softmax
#17
likanchuan
closed
2 years ago
2
Seed used
#16
rahulvigneswaran
closed
2 years ago
1
pc softmax and LADE in other domain
#15
aiexperience
closed
2 years ago
1
PC softmax implementation process
#14
aiexperience
closed
2 years ago
2
LADE loss implementation
#13
aiexperience
closed
2 years ago
1
Question about PC softmax implementation
#12
aiexperience
closed
2 years ago
2
Compatible with margin loss and label smoothing
#11
milliema
closed
3 years ago
3
Understanding formula in paper with codes
#10
Joonsun-Hwang
closed
3 years ago
1
a small question about PC-Softmax.
#9
seekingup
closed
3 years ago
4
[question] this loss can use other domain like text classification?
#8
switiz
closed
3 years ago
1
Can I get your test-data??
#7
edwardcho
closed
3 years ago
1
How to use your classifier for Causal-Norm??
#6
edwardcho
closed
3 years ago
2
How to use classifier..
#5
edwardcho
closed
3 years ago
2
The setting of random seeds
#4
Vanint
closed
3 years ago
2
Specific version of pytorch to reproduce the results in paper
#3
abababa-ai
closed
3 years ago
2
About setting of batch size and learning rate
#2
mingliangzhang2018
closed
3 years ago
6
About the implementation of Post-Compensation Strategy
#1
jiequancui
closed
3 years ago
6