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ResearchFormerly WizWand

Image Classification on CIFAR-100 10000 labels

8.99Error RateFlexMatch + SemiReward
7.876415.393222.9130.4268Oct 15, 2021May 23, 2022Dec 30, 2022Aug 8, 2023Mar 15, 2024Oct 22, 2024May 31, 2025
Updated 8mo ago

Evaluation results

MethodLinks
FlexMatch + SemiRewardBackbone=Vision Transformer (ViT), Pre-trained=ImageNet, SemiReward (+SR)=true2023.108.99
FlexMatchBackbone=Vision Transformer (ViT), Pre-trained=ImageNet, SemiReward (+SR)=false2023.1010.22
Semi-SSTBackbone=ViT-Small, Pre-training=DINO2025.0513.5
Super-SSTBackbone=ViT-Small, Pre-training=DINO2025.0514.2
Fully-SupervisedBackbone=Wide-ResNet-28-8, #LABEL=100002023.1019.3
FlexMatch2025.0519.89
ReMixMatch2021.1020.02
ReMixMatchBackbone=Wide-ResNet-28-8, #LABEL=100002023.1020.02
UDA2025.0520.04
SequenceMatchBackbone=Wide-ResNet-28-8, #LABEL=100002023.1020.1
DoubleMatchBackbone=Wide ResNet-28-8, Training Labels=10000, Evaluation Protocol=min2022.0521.22
SimMatchV22025.0521.5
FreeMatchBackbone=Wide-ResNet-28-8, #LABEL=100002023.1021.68
DoubleMatchBackbone=Wide ResNet-28-8, Training Labels=10000, Evaluation Protocol=last 202022.0521.69
MPLBackbone=Wide-ResNet-28-8, #LABEL=100002023.1021.74
AdaMatch2025.0521.75
DASHBackbone=Wide-ResNet-28-8, #LABEL=100002023.1021.88
CoMatch2025.0521.89
FlexMatch2021.1021.9
FlexMatchBackbone=Wide-ResNet-28-8, #LABEL=100002023.1021.9
SimMatch2025.0521.99
Dash2025.0522.06
CRMatch2025.0522.11
FixMatch2021.1022.2
FixMatchBackbone=Wide-ResNet-28-8, #LABEL=100002023.1022.2
DP-SSLBackbone=Wide ResNet-28-8, Training Labels=100002022.0522.24
UDA2021.1022.49
UDABackbone=Wide-ResNet-28-8, #LABEL=100002023.1022.49
Dash (CTA)Backbone=Wide ResNet-28-8, Training Labels=100002022.0522.77
ReMixMatchBackbone=Wide ResNet-28-8, Training Labels=100002022.0523.03
FixMatch2025.0523.12
FixMatch (CTA)Backbone=Wide ResNet-28-8, Training Labels=100002022.0523.18
UDABackbone=Wide ResNet-28-8, Training Labels=100002022.0524.5
ReMixMatch2025.0527.74
MixMatch2021.1027.78
MixMatchBackbone=Wide-ResNet-28-8, #LABEL=100002023.1027.78
MixMatchBackbone=Wide ResNet-28-8, Training Labels=100002022.0528.31
VAT2025.0531.39
Mean Teacher2021.1031.75
MeanTeacherBackbone=Wide-ResNet-28-8, #LABEL=100002023.1031.75
VAT2021.1032.14
VATBackbone=Wide-ResNet-28-8, #LABEL=100002023.1032.14
MixMatch2025.0532.14
Pseudo-Labeling2021.1036.55
Pseudo LabelBackbone=Wide-ResNet-28-8, #LABEL=100002023.1036.55
Mean Teacher2025.0536.58
Π-Model2021.1036.65
Pi ModelBackbone=Wide-ResNet-28-8, #LABEL=100002023.1036.65
Pseudo-Labeling2025.0536.73
Pi-Model2025.0536.83