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ResearchFormerly WizWand

Classification on Stanford Cars 30% labels (test)

87.7AccuracySelf-Tuning+HCR
56.073664.284372.49580.7057Jun 2, 2022
Updated 8mo ago

Evaluation results

MethodLinks
Self-Tuning+HCRBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=30%2022.0687.7
Self-TuningBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=30%2022.0685.87
FixMatchBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=30%2022.0677.54
Pseudo-LabelingBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=30%2022.0667.02
Mean TeacherBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=30%2022.0666.02
UDABackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=30%2022.0664.16
SimCLRv2Backbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=30%2022.0661.7
Pi-modelBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=30%2022.0657.29