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ResearchFormerly WizWand

Image Classification on CIFAR-100 2500 labels (test)

23.93Error RateSelf-Tuning+HCR
22.10634.41846.7359.042Feb 11, 2022Oct 30, 2022Jul 18, 2023Apr 5, 2024Dec 22, 2024Sep 9, 2025May 29, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Self-Tuning+HCRNetwork=EfficientNet-B2, Number of Parameters=9.43M2022.0623.93
Self-TuningNetwork=EfficientNet-B2, Number of Parameters=9.43M2022.0624.16
ReMixMatchNetwork=WRN-28-8, Number of Parameters=11.76M2022.0627.43
FixMatch + CMW-Net2022.0227.43
FixMatch2022.0228.29
FixMatchNetwork=WRN-28-8, Number of Parameters=11.76M2022.0628.64
FixMatch + IAM-Dlabeled samples=25002026.0528.95
FixMatchNetwork=EfficientNet-B2, Number of Parameters=9.43M2022.0629.99
Co-TuningNetwork=EfficientNet-B2, Number of Parameters=9.43M2022.0630.94
Fine-TuningNetwork=EfficientNet-B2, Number of Parameters=9.43M2022.0631.69
FixMatchlabeled samples=25002026.0532.84
UDANetwork=WRN-28-8, Number of Parameters=11.76M2022.0633.13
UDA2022.0233.13
MixMatchNetwork=WRN-28-8, Number of Parameters=11.76M2022.0639.94
MixMatch2022.0239.94
Mean TeacherNetwork=WRN-28-8, Number of Parameters=11.76M2022.0653.91
Mean Teacher2022.0253.91
Π-ModelNetwork=WRN-28-8, Number of Parameters=11.76M2022.0657.25
Π-Model2022.0257.25
Pseudo-LabelingNetwork=WRN-28-8, Number of Parameters=11.76M2022.0657.38
Pseudo-Labeling2022.0257.38
IAM-Dlabeled samples=25002026.0566.98
SGDlabeled samples=25002026.0568.91
SAMlabeled samples=25002026.0569.53