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Image Classification on CIFAR-100 2500 labels

9.42Error RateFlexMatch + SemiReward
7.444820.777434.1147.4426Apr 12, 2021Feb 12, 2022Dec 15, 2022Oct 17, 2023Aug 18, 2024Jun 20, 2025Apr 22, 2026

Evaluation results

MethodLinks
FlexMatch + SemiRewardBackbone=Vision Transformer (ViT), Pre-trained=ImageNet, SemiReward (+SR)=true2023.109.42—
FlexMatchBackbone=Vision Transformer (ViT), Pre-trained=ImageNet, SemiReward (+SR)=false2023.1010.82—
Semi-SSTBackbone=ViT-Small, Pre-training=DINO2025.0516.62—
Super-SSTBackbone=ViT-Small, Pre-training=DINO2025.0518.51—
JEPAMatchIter.=2^172026.0422.59—
Suvio&Daino*Iter.=2^202026.0423—
RegMixMatch*Iter.=2^202026.0423.78—
FlexMatch2025.0524.13—
SimMatchIter.=2^202026.0425.07—
FlatMatchIter.=2^202026.0425.38—
CrMatchIter.=2^202026.0425.43—
UDA2025.0525.72—
SequenceMatchBackbone=Wide-ResNet-28-8, #LABEL=25002023.1025.99—
ReMixMatch2021.1026.03—
ReMixMatchBackbone=Wide-ResNet-28-8, #LABEL=25002023.1026.03—
ReMixMatchIter.=2^202026.0426.03—
AdaMatch2025.0526.17—
SimMatchV22025.0526.21—
FreeMatchBackbone=Wide-ResNet-28-8, #LABEL=25002023.1026.47—
FreeMatchIter.=2^202026.0426.47—
FlexMatch2021.1026.49—
FlexMatchBackbone=Wide-ResNet-28-8, #LABEL=25002023.1026.49—
FlexMatchIter.=2^202026.0426.49—
SimMatch2025.0526.66—
SoftMatchIter.=2^202026.0426.66—
DoubleMatchBackbone=Wide ResNet-28-8, Training Labels=2500, Evaluation Protocol=min2022.0527.07—
DASHBackbone=Wide-ResNet-28-8, #LABEL=25002023.1027.15—
ReMixMatchBackbone=Wide ResNet-28-8, Training Labels=25002022.0527.43—
CoMatch2025.0527.47—
DoubleMatchBackbone=Wide ResNet-28-8, Training Labels=2500, Evaluation Protocol=last 202022.0527.48—
FixMatch2025.0527.51—
MPLBackbone=Wide-ResNet-28-8, #LABEL=25002023.1027.71—
Dash2025.0527.71—
UDA2021.1027.73—
UDABackbone=Wide-ResNet-28-8, #LABEL=25002023.1027.73—
UDAIter.=2^202026.0427.73—
Dash (CTA)Backbone=Wide ResNet-28-8, Training Labels=25002022.0527.85—
DP-SSLBackbone=Wide ResNet-28-8, Training Labels=25002022.0528—
FixMatch2021.1028.03—
FixMatchBackbone=Wide-ResNet-28-8, #LABEL=25002023.1028.03—
FixMatchIter.=2^202026.0428.03—
FixMatch (CTA)Backbone=Wide ResNet-28-8, Training Labels=25002022.0528.64—
CRMatch2025.0529.78—
SemCoBackbone=WideResnet-28-2, mu=7, shared_codebase=true2021.0431.93—
UDABackbone=WideResnet-28-22021.0433.13—
UDABackbone=Wide ResNet-28-8, Training Labels=25002022.0533.13—
FixMatchBackbone=WideResnet-28-2, mu=7, shared_codebase=true2021.0433.64—
SemCoBackbone=WideResnet-28-2, mu=3, shared_codebase=true2021.0433.8—
FixMatchBackbone=WideResnet-28-2, mu=3, shared_codebase=true2021.0438.45—
ReMixMatch2025.0539.29—
MixMatchBackbone=WideResnet-28-2, shared_codebase=true2021.0439.7—
MixMatch2021.1039.76—
MixMatchBackbone=Wide-ResNet-28-8, #LABEL=25002023.1039.76—
MixMatchIter.=2^202026.0439.76—
MixMatchBackbone=Wide ResNet-28-8, Training Labels=25002022.0539.94—
VAT2025.0544.37—
Mean Teacher2021.1045.17—
MeanTeacherBackbone=Wide-ResNet-28-8, #LABEL=25002023.1045.17—
MeanTeacherIter.=2^202026.0445.17—
MixMatch2025.0546.2—
VAT2021.1046.84—
VATBackbone=Wide-ResNet-28-8, #LABEL=25002023.1046.84—
Mean Teacher2025.0555.37—
Pseudo-Labeling2025.0556.4—
Pseudo-Labeling2021.1057.74—
Pseudo LabelBackbone=Wide-ResNet-28-8, #LABEL=25002023.1057.74—
PseudoLabelIter.=2^202026.0457.74—
Pi-Model2025.0558.33—
Π-Model2021.1058.8—
Pi ModelBackbone=Wide-ResNet-28-8, #LABEL=25002023.1058.8—
FixMatchBackbone=WRN-28-8, Label Amount=25002021.10—29.19
Flex-PLBackbone=WRN-28-8, Label Amount=25002021.10—56.72
Flex-UDABackbone=WRN-28-8, Label Amount=25002021.10—29.33
FlexMatchBackbone=WRN-28-8, Label Amount=25002021.10—28.11
PLBackbone=WRN-28-8, Label Amount=25002021.10—58.38
UDABackbone=WRN-28-8, Label Amount=25002021.10—29.92