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ResearchFormerly WizWand

Classification on Stanford Cars 50% labels (test)

0.9114AccuracySelf-Tuning+HCR
0.6310160.7038080.77660.849392Jun 2, 2022
Updated 8mo ago

Evaluation results

MethodLinks
Self-Tuning+HCRBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=50%2022.060.9114
Self-TuningBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=50%2022.060.8983
FixMatchBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=50%2022.060.8478
Pseudo-LabelingBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=50%2022.060.7871
SimCLRv2Backbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=50%2022.060.7749
Mean TeacherBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=50%2022.060.7424
UDABackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=50%2022.060.7186
Pi-modelBackbone=ResNet-50, Pre-trained=ImageNet, Label Proportion=50%2022.060.6418