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Image Classification on SVHN (test)

99.5AccuracyMultitask
96.79697.49898.298.902May 10, 2018Sep 10, 2019Jan 11, 2021May 14, 2022Sep 15, 2023Jan 15, 2025May 19, 2026

Evaluation results

MethodLinks
MultitaskBackbone=ViT-B/32, #Params=x1, Merging Strategy=N/A2026.0599.5———————————
RandAugmentBackbone=Wide-ResNet-28-10, search space size=10^22019.0999———————————
RandAugmentArchitecture=Wide-ResNet-28-102019.0999———————————
AutoAugment (AA)Backbone=Wide-ResNet-28-10, search space size=10^322019.0998.9———————————
Population Based Augmentation (PBA)Backbone=Wide-ResNet-28-10, search space size=10^612019.0998.9———————————
PBAArchitecture=Wide-ResNet-28-102019.0998.9———————————
AutoAugmentArchitecture=Wide-ResNet-28-102019.0998.9———————————
Fast AutoAugment (Fast AA)Backbone=Wide-ResNet-28-10, search space size=10^322019.0998.8———————————
Fast AAArchitecture=Wide-ResNet-28-102019.0998.8———————————
AutoAugmentArchitecture=Wide-ResNet-28-22019.0998.7———————————
RandAugmentArchitecture=Wide-ResNet-28-22019.0998.7———————————
BaselineBackbone=Wide-ResNet-28-10, search space size=02019.0998.5———————————
baselineArchitecture=Wide-ResNet-28-102019.0998.5———————————
RandAugmentArchitecture=Wide-ResNet-28-22019.0998.3———————————
RandAugmentArchitecture=Wide-ResNet-28-102019.0998.3———————————
baselineArchitecture=Wide-ResNet-28-22019.0998.2———————————
FixMatch+CR++Number of labels=1000 labels2022.0198.11———————————
AutoAugmentArchitecture=Wide-ResNet-28-102019.0998.1———————————
LLP-DCBag Size=162026.0398.01———————————
AutoAugmentArchitecture=Wide-ResNet-28-22019.0998———————————
BOSS + self-trainingprototype_set=4, base_balance_method=1, iterations=+402020.0698———————————
LLP-DCBag Size=322026.0397.99———————————
LLP-DCBag Size=642026.0397.97———————————
LLP-DCBag Size=1282026.0397.97———————————
FixMatch+CR++Number of labels=250 labels2022.0197.95———————————
L2P-AHILBag Size=162026.0397.91———————————
BOSS + self-trainingprototype_set=1, base_balance_method=1, iterations=+52020.0697.9———————————
BOSS + self-trainingprototype_set=1, base_balance_method=1, iterations=+102020.0697.9———————————
BOSS + self-trainingprototype_set=1, base_balance_method=1, iterations=+202020.0697.9———————————
BOSS + self-trainingprototype_set=2, base_balance_method=1, iterations=+102020.0697.9———————————
BOSS + self-trainingprototype_set=3, base_balance_method=1, iterations=+102020.0697.9———————————
BOSS + self-trainingprototype_set=3, base_balance_method=1, iterations=+402020.0697.9———————————
L2P-AHILBag Size=322026.0397.88———————————
BOSS + self-trainingprototype_set=1, base_balance_method=1, iterations=+402020.0697.8———————————
BOSS + self-trainingprototype_set=3, base_balance_method=1, iterations=+52020.0697.8———————————
BOSS + self-trainingprototype_set=3, base_balance_method=1, iterations=+202020.0697.8———————————
Fully Supervised BaselineSupervision=Fully Supervised2026.0397.77———————————
L2P-AHILBag Size=642026.0397.74———————————
BOSS + self-trainingprototype_set=2, base_balance_method=1, iterations=+402020.0697.7———————————
NoisyDARTSSearch Space=S4, Search Space Strategy=NFA, Aggregation Protocol=Best of 3 runs2020.0597.67———————————
L2P-AHILBag Size=1282026.0397.67———————————
NoisyDARTSSearch Space=S2, Search Space Strategy=OFS, Aggregation Protocol=Best of 3 runs2020.0597.66———————————
SDARTS-ADVSearch Space=S2, Search Space Strategy=OFS, Aggregation Protocol=Best of 3 runs2020.0597.65———————————
SDARTS-RSSearch Space=S3, Search Space Strategy=OFS, Aggregation Protocol=Best of 3 runs2020.0597.64———————————
NoisyDARTSSearch Space=S3, Search Space Strategy=OFS, Aggregation Protocol=Best of 3 runs2020.0597.63———————————
SDARTS-RSSearch Space=S2, Search Space Strategy=OFS, Aggregation Protocol=Best of 3 runs2020.0597.61———————————
FixMatch+CRNumber of labels=1000 labels2022.0197.61———————————
BOSS + self-trainingprototype_set=2, base_balance_method=1, iterations=+202020.0697.6———————————
BOSS + self-trainingprototype_set=4, base_balance_method=1, iterations=+52020.0697.6———————————
NoisyDARTSSearch Space=S2, Search Space Strategy=OFS, Aggregation Protocol=Average of 3 runs2020.0597.6———————————
SDARTS-ADVSearch Space=S3, Search Space Strategy=OFS, Aggregation Protocol=Best of 3 runs2020.0597.6———————————
RCADBackbone=ResNet-182022.0697.6———————————
NoisyDARTSSearch Space=S4, Search Space Strategy=NFA, Aggregation Protocol=Average of 3 runs2020.0597.59———————————
NoisyDARTSSearch Space=S3, Search Space Strategy=OFS, Aggregation Protocol=Average of 3 runs2020.0597.58———————————
SDARTS-ADVSearch Space=S4, Search Space Strategy=NFA, Aggregation Protocol=Best of 3 runs2020.0597.58———————————
FixMatch+CRNumber of labels=250 labels2022.0197.55———————————
SDARTS-RSSearch Space=S4, Search Space Strategy=NFA, Aggregation Protocol=Best of 3 runs2020.0597.54———————————
UDANumber of labels=1000 labels2022.0197.54———————————
RDARTS-L2Search Space=S3, Search Space Strategy=OFS, Aggregation Protocol=Best of 3 runs2020.0597.52———————————
SDARTS-ADVSearch Space=S1, Search Space Strategy=OFS, Aggregation Protocol=Best of 3 runs2020.0597.51———————————
NoisyDARTSSearch Space=S1, Search Space Strategy=OFS, Aggregation Protocol=Best of 3 runs2020.0597.51———————————
RDARTS-L2Search Space=S4, Search Space Strategy=NFA, Aggregation Protocol=Best of 3 runs2020.0597.5———————————
ERMBackbone=ResNet-182022.0697.5———————————
ADABackbone=ResNet-182022.0697.5———————————
IndividualsBackbone=ViT-B/32, #Params=x8, Merging Strategy=N/A2026.0597.5———————————
RDARTS-L2Search Space=S2, Search Space Strategy=OFS, Aggregation Protocol=Best of 3 runs2020.0597.49———————————
SelfMatchNumber of labels=1000 labels2022.0197.49———————————
RDARTS-ADASearch Space=S4, Search Space Strategy=NFA, Aggregation Protocol=Average of 3 runs2020.0597.48———————————
FixMatchNumber of labels=1000 labels2022.0197.46———————————
RDARTS-ESSearch Space=S4, Search Space Strategy=NFA, Aggregation Protocol=Average of 3 runs2020.0597.45———————————
NoisyDARTSSearch Space=S1, Search Space Strategy=OFS, Aggregation Protocol=Average of 3 runs2020.0597.44———————————
RDARTS-ADASearch Space=S3, Search Space Strategy=OFS, Aggregation Protocol=Average of 3 runs2020.0597.42———————————
RDARTS-ADASearch Space=S1, Search Space Strategy=OFS, Aggregation Protocol=Average of 3 runs2020.0597.41———————————
BOSSprototype_set=1, balance_method=12020.0697.4———————————
BOSSprototype_set=2, balance_method=12020.0697.4———————————
ME-ADABackbone=ResNet-182022.0697.4———————————
SelfMatchNumber of labels=250 labels2022.0197.37———————————
ReMixMatchNumber of labels=1000 labels2022.0197.35———————————
RDARTS-ESSearch Space=S2, Search Space Strategy=OFS, Aggregation Protocol=Average of 3 runs2020.0597.32———————————
BOSSprototype_set=3, balance_method=12020.0697.3———————————
FixMatchNumber of labels=250 labels2022.0197.28———————————
RDARTS-ESSearch Space=S3, Search Space Strategy=OFS, Aggregation Protocol=Average of 3 runs2020.0597.22———————————
RDARTS-ADASearch Space=S2, Search Space Strategy=OFS, Aggregation Protocol=Average of 3 runs2020.0597.21———————————
BOSSprototype_set=3, balance_method=22020.0697.2———————————
RDARTS-ESSearch Space=S1, Search Space Strategy=OFS, Aggregation Protocol=Average of 3 runs2020.0597.2———————————
SDARTS-RSSearch Space=S1, Search Space Strategy=OFS, Aggregation Protocol=Best of 3 runs2020.0597.14———————————
BOSSprototype_set=2, balance_method=22020.0697.1———————————
BOSSprototype_set=2, balance_method=32020.0697.1———————————
BOSSprototype_set=3, balance_method=32020.0697.1———————————
DARTSSearch Space=S4, Search Space Strategy=NFA, Aggregation Protocol=Average of 3 runs2020.0597.1———————————
ReMixMatchNumber of labels=250 labels2022.0197.08———————————
RepLBackbone=ResNet-110, GPU Memory (GB)=7.62 (↓18.2%), Training Time (s/epoch)=30.08 (↓19.5%)2026.0597.06———————————
FixMatch+CR++Number of labels=40 labels2022.0197.05———————————
BOSS + self-trainingprototype_set=4, base_balance_method=1, iterations=+202020.0697———————————
RepLBackbone=ResNet-32, GPU Memory (GB)=2.69 (↓20.4%), Training Time (s/epoch)=11.94 (↓14.0%)2026.0596.97———————————
SAMBackbone=ResNet-50, Pruning Ratio=Dense, WCR=w/o2025.1196.96———————————
DLLPBag Size=322026.0396.93———————————
E2EBackbone=ResNet-110, GPU Memory (GB)=9.31, Training Time (s/epoch)=37.382026.0596.93———————————
DCNet++epochs=50E2018.0596.9———————————
baselineArchitecture=Wide-ResNet-28-102019.0996.9———————————