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Image Classification on CIFAR-10 1.0 (test)

99.03AccuracyDeiT-small
5.294829.629953.96578.3001Jan 16, 2021Jul 30, 2021Feb 10, 2022Aug 24, 2022Mar 7, 2023Sep 18, 2023Mar 31, 2024

Evaluation results

MethodLinks
DeiT-smallPre-training Method=ToE r1=0.5, Pre-training Acceleration=1.3x, Fine-tuning Method=Baseline [4], Fine-tuning Acceleration=1.0x2024.0399.03
DeiT-smallPre-training Method=ToE r1=0.5, Pre-training Acceleration=1.3x, Fine-tuning Method=ToE r1=0.5, Fine-tuning Acceleration=1.3x2024.0398.99
DeiT-smallPre-training Method=Baseline [4], Pre-training Acceleration=1.3x, Fine-tuning Method=ToE r1=0.5, Fine-tuning Acceleration=1.3x2024.0398.96
DeiT-smallPre-training Method=Baseline [4], Pre-training Acceleration=1.0x, Fine-tuning Method=Baseline [4], Fine-tuning Acceleration=1.0x2024.0398.93
DeiT-tinyPre-training Method=ToE r1=0.5, Pre-training Acceleration=1.3x, Fine-tuning Method=Baseline [4], Fine-tuning Acceleration=1.0x2024.0398.19
DeiT-tinyPre-training Method=ToE r1=0.5, Pre-training Acceleration=1.3x, Fine-tuning Method=ToE r1=0.5, Fine-tuning Acceleration=1.3x2024.0398.16
DeiT-tinyPre-training Method=Baseline [4], Pre-training Acceleration=1.0x, Fine-tuning Method=ToE r1=0.5, Fine-tuning Acceleration=1.3x2024.0398.1
DeiT-tinyPre-training Method=Baseline [4], Pre-training Acceleration=1.0x, Fine-tuning Method=Baseline [4], Fine-tuning Acceleration=1.0x2024.0398.07
SelfMatchNumber of labels=40002021.0195.94
SupervisedNumber of labels=all2021.0195.87
FixMatch(RA)Number of labels=40002021.0195.74
ReMixMatchNumber of labels=40002021.0195.28
SelfMatchNumber of labels=2502021.0195.13
UDANumber of labels=40002021.0195.12
FixMatch(RA)Number of labels=2502021.0194.93
ReMixMatchNumber of labels=2502021.0194.56
MixMatchNumber of labels=40002021.0193.58
SelfMatchNumber of labels=402021.0193.19
UDANumber of labels=2502021.0191.18
Mean TeacherNumber of labels=40002021.0190.81
MixMatchNumber of labels=2502021.0188.95
FixMatch(RA)Number of labels=402021.0186.19
Pi-ModelNumber of labels=40002021.0185.99
Pseudo-LabelNumber of labels=40002021.0183.91
ReMixMatchNumber of labels=402021.0180.9
UDANumber of labels=402021.0170.95
Mean TeacherNumber of labels=2502021.0167.68
AUENetwork=ResNet-50, Learning Protocol=Contrastive Learning (CL)2024.0253.4
MixMatchNumber of labels=402021.0152.46
AUENetwork=DenseNet-121, Learning Protocol=Contrastive Learning (CL)2024.0250.5
Pseudo-LabelNumber of labels=2502021.0150.22
AUENetwork=VGG-19, Learning Protocol=Contrastive Learning (CL)2024.0248.2
Pi-ModelNumber of labels=2502021.0145.74
UT-AAPNetwork=VGG-19, Learning Protocol=Supervised Learning (SL)2024.0243.5
T-AAPNetwork=VGG-19, Learning Protocol=Contrastive Learning (CL)2024.0241.7
T-AAPNetwork=ResNet-50, Learning Protocol=Contrastive Learning (CL)2024.0241.5
AUENetwork=MobileNet v2, Learning Protocol=Contrastive Learning (CL)2024.0241.4
UT-AAPNetwork=ResNet-50, Learning Protocol=Contrastive Learning (CL)2024.0238.4
UT-AAPNetwork=DenseNet-121, Learning Protocol=Supervised Learning (SL)2024.0237.5
T-AAPNetwork=DenseNet-121, Learning Protocol=Contrastive Learning (CL)2024.0235.3
UT-AAPNetwork=ResNet-50, Learning Protocol=Supervised Learning (SL)2024.0233.2
UT-AAPNetwork=DenseNet-121, Learning Protocol=Contrastive Learning (CL)2024.0231.3
T-AAPNetwork=MobileNet v2, Learning Protocol=Contrastive Learning (CL)2024.0229.8
UT-AAPNetwork=MobileNet v2, Learning Protocol=Supervised Learning (SL)2024.0227.8
AUENetwork=VGG-19, Learning Protocol=Supervised Learning (SL)2024.0223.2
UT-AAPNetwork=MobileNet v2, Learning Protocol=Contrastive Learning (CL)2024.0219.9
AUENetwork=DenseNet-121, Learning Protocol=Supervised Learning (SL)2024.0219.5
UT-AAPNetwork=VGG-19, Learning Protocol=Contrastive Learning (CL)2024.0218
AUENetwork=MobileNet v2, Learning Protocol=Supervised Learning (SL)2024.0217.2
AUENetwork=ResNet-50, Learning Protocol=Supervised Learning (SL)2024.0216.4
T-AAPNetwork=MobileNet v2, Learning Protocol=Supervised Learning (SL)2024.0212.1
T-AAPNetwork=VGG-19, Learning Protocol=Supervised Learning (SL)2024.0210.7
T-AAPNetwork=DenseNet-121, Learning Protocol=Supervised Learning (SL)2024.0210.4
T-AAPNetwork=ResNet-50, Learning Protocol=Supervised Learning (SL)2024.028.9