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Benchmarks
Image Classification on CIFAR-10-LT λ=100 (test)
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19.46
Error Rate
MetaSAug with cross-entropy loss
19.044
21.852
24.66
27.468
Dec 15, 2021
Error Rate
Updated 4d ago
Evaluation Results
Method
Method
Links
Error Rate
MetaSAug with cross-entropy loss
Backbone=ResNet-32
2021.12
19.46
Bag of Tricks
Backbone=ResNet-32
2021.12
19.97
RISDA
Backbone=ResNet-32
2021.12
20.11
BBN
Backbone=ResNet-32
2021.12
20.18
Hybrid-PSC
Backbone=ResNet-32
2021.12
21.18
Meta-class-weight with cross-entropy loss
Backbone=ResNet-32
2021.12
23.59
Meta-weight net
Backbone=ResNet-32
2021.12
26.43
Mixup
Backbone=ResNet-32
2021.12
26.94
Class-balanced CE
Backbone=ResNet-32
2021.12
27.32
L2RW
Backbone=ResNet-32
2021.12
27.77
Class-balanced fine-tuning
Backbone=ResNet-32
2021.12
28.66
Cross-Entropy
Backbone=ResNet-32
2021.12
29.86
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