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ResearchFormerly WizWand

Image Classification on CIFAR-100 Long-Tailed 1.0 (test)

70.72Test AccuracyFine-tuning
31.886441.968252.0562.1318Feb 20, 2019
Updated 8mo ago

Evaluation results

MethodLinks
Fine-tuningBackbone=ResNet-32, Imbalance factor=12019.0270.72
Focal LossBackbone=ResNet-32, Imbalance factor=12019.0270.52
BaseModelBackbone=ResNet-32, Imbalance factor=12019.0270.5
Class-BalancedBackbone=ResNet-32, Imbalance factor=12019.0270.5
Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=12019.0270.37
L2RWBackbone=ResNet-32, Imbalance factor=12019.0264.11
Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=102019.0258.46
Class-BalancedBackbone=ResNet-32, Imbalance factor=102019.0257.99
Fine-tuningBackbone=ResNet-32, Imbalance factor=102019.0257.44
Focal LossBackbone=ResNet-32, Imbalance factor=102019.0255.78
BaseModelBackbone=ResNet-32, Imbalance factor=102019.0255.71
Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=202019.0254.37
L2RWBackbone=ResNet-32, Imbalance factor=102019.0253.73
Class-BalancedBackbone=ResNet-32, Imbalance factor=202019.0252.59
Fine-tuningBackbone=ResNet-32, Imbalance factor=202019.0252.11
Focal LossBackbone=ResNet-32, Imbalance factor=202019.0251.95
L2RWBackbone=ResNet-32, Imbalance factor=202019.0251.64
BaseModelBackbone=ResNet-32, Imbalance factor=202019.0251.14
Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=502019.0246.74
Fine-tuningBackbone=ResNet-32, Imbalance factor=502019.0246.4
Class-BalancedBackbone=ResNet-32, Imbalance factor=502019.0245.32
L2RWBackbone=ResNet-32, Imbalance factor=502019.0244.44
Focal LossBackbone=ResNet-32, Imbalance factor=502019.0244.32
BaseModelBackbone=ResNet-32, Imbalance factor=502019.0243.85
Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=1002019.0242.09
Fine-tuningBackbone=ResNet-32, Imbalance factor=1002019.0241.83
L2RWBackbone=ResNet-32, Imbalance factor=1002019.0240.23
Class-BalancedBackbone=ResNet-32, Imbalance factor=1002019.0239.6
Focal LossBackbone=ResNet-32, Imbalance factor=1002019.0238.41
BaseModelBackbone=ResNet-32, Imbalance factor=1002019.0238.32
Fine-tuningBackbone=ResNet-32, Imbalance factor=2002019.0238.22
Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=2002019.0237.91
Class-BalancedBackbone=ResNet-32, Imbalance factor=2002019.0236.23
Focal LossBackbone=ResNet-32, Imbalance factor=2002019.0235.62
BaseModelBackbone=ResNet-32, Imbalance factor=2002019.0234.84
L2RWBackbone=ResNet-32, Imbalance factor=2002019.0233.38