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Image Classification on CIFAR-10-N-LT Imbalance Ratio 10 (Noise Robustness)

0.8944Accuracy (NR 0.1)Dynamic Loss
0.7611760.7957630.830350.864937Nov 22, 2022
Updated 8mo ago

Evaluation results

MethodLinks
Dynamic LossCheckpoint=Best2022.110.89440.88460.86720.84730.83710.8055
Dynamic LossCheckpoint=Last2022.110.89230.88390.86580.84430.83340.7973
DivideMix + Balanced-SoftmaxCheckpoint=Best2022.110.88930.86060.79190.79810.7820.7275
DivideMixCheckpoint=Best2022.110.8850.87130.67670.74260.74150.6074
DivideMix + Balanced-SoftmaxCheckpoint=Last2022.110.88230.86960.78020.79170.76890.716
DivideMixCheckpoint=Last2022.110.88110.86950.66420.73780.73850.5819
Balanced-SoftmaxCheckpoint=Best2022.110.87620.8450.82840.79090.7590.7637
Balanced-SoftmaxCheckpoint=Last2022.110.87520.840.79490.73530.65270.6966
ELR+Checkpoint=Best2022.110.87040.86140.84380.8330.80230.7034
HARCheckpoint=Best2022.110.87030.84470.81940.79870.78250.7717
MOIT+Checkpoint=Best2022.110.870.84840.84850.81950.79520.6848
MOIT+Checkpoint=Last2022.110.86670.8460.84850.81340.79020.6811
HARCheckpoint=Last2022.110.86460.84270.81780.79550.78070.7652
ELR+Checkpoint=Last2022.110.85210.85710.84130.81160.78910.6931
CurveNetCheckpoint=Best2022.110.84870.84620.79980.81330.78370.7136
CurveNetCheckpoint=Last2022.110.8410.8170.78470.78730.75650.6936
FaMUSCheckpoint=Best2022.110.83120.84340.84850.85440.84120.6666
FaMUSCheckpoint=Last2022.110.77310.78680.79150.81170.77570.6153
Cross EntropyCheckpoint=Best2022.110.77140.74350.72220.68280.59650.6043
Cross EntropyCheckpoint=Last2022.110.76630.68890.61210.54010.44090.5273