Comments (1)
Hi - thanks for your interest. The base model is obtained by normal training procedure on the labeled imbalanced dataset. You can also customize the base loss function or training procedure for the base classifier. For example, with CE
, \rho=100
on CIFAR-10:
python train.py --dataset cifar10 --imb_factor 0.01 --loss_type CE
Or with LDAM
:
python train.py --dataset cifar10 --imb_factor 0.01 --loss_type LDAM
from imbalanced-semi-self.
Related Issues (20)
- Where can I setting the CE(Uniform) and CE(Balanced) ? HOT 1
- About the Proof of Theorem1 HOT 3
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- 你好,半监督的伪标签没有经过置信度筛选的吗? HOT 1
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from imbalanced-semi-self.