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Image Classification on Clothing1M 1.0 (test)

81.16AccuracyDeepSelf
58.425664.327870.2376.1322Aug 16, 2019Nov 27, 2019Mar 10, 2020Jun 21, 2020Oct 3, 2020Jan 14, 2021Apr 28, 2021

Evaluation results

MethodLinks
DeepSelfTraining=clean50k, Pre-training=Initialized from #102020.0381.16
loss cor.Training=clean50k, Pre-training=Initialized from #42020.0380.38
CleanNetTraining=clean50k, Pre-training=Initialized from #82020.0379.9
NoiseRankTraining=clean50k, Pre-training=Initialized from #132020.0379.57
NoneTraining=clean50k, Pre-training=noisy train # 22020.0379.43
NoneTraining=clean50k, Pre-training=ImageNet2020.0375.19
ELR+Pre-training=ImageNet2021.0374.81
DivideMixBackbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=true2021.0474.8
DivideMixPre-training=ImageNet2021.0374.76
CleanNetTraining=noisy(+verified), Pre-training=ImageNet2020.0374.69
DeepSelfTraining=noisy train, Pre-training=ImageNet2020.0374.45
Self-learningPre-training=ImageNet2021.0374.45
C2DPre-training=None, Initialization=SimCLR, LNL method=DivideMix2021.0374.3
PLCBackbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=true2021.0474
NoiseRankTraining=cleaned train, Pre-training=noisy train #22020.0373.82
NoiseRankTraining=cleaned train, Pre-training=ImageNet2020.0373.77
C2DPre-training=None, Initialization=BT, LNL method=ELR+2021.0373.52
PENCILBackbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=true2021.0473.5
MLNTBackbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=false2021.0473.5
PENCILTraining=noisy train, Pre-training=ImageNet2020.0373.49
P-correctionPre-training=ImageNet2021.0373.49
Meta-LearningPre-training=ImageNet2021.0373.47
Cross-entropyPre-training=None, Initialization=BT2021.0373.03
DropoutBackbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=true2021.0472.8
MetaCleanerPre-training=ImageNet2021.0372.5
JOBackbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=false2021.0472.2
Joint opt.Training=noisy train, Pre-training=ImageNet2020.0372.16
Joint-OptimPre-training=ImageNet2021.0372.16
Cross-entropyPre-training=None, Initialization=SimCLR2021.0372.05
SLBackbone=ResNet-50, Pre-trained=ImageNet, Batch Size=64, Optimizer=SGD, Initial Learning Rate=0.0012019.0871.02
JoCoRBackbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=false2021.0470.3
ForwardBackbone=ResNet-50, Pre-trained=ImageNet, Batch Size=64, Optimizer=SGD, Initial Learning Rate=0.0012019.0869.84
loss cor.Training=noisy(+verified), Pre-training=ImageNet2020.0369.84
F-correctionPre-training=ImageNet2021.0369.84
GCEBackbone=ResNet-50, Pre-trained=ImageNet, Batch Size=64, Optimizer=SGD, Initial Learning Rate=0.0012019.0869.75
D2LBackbone=ResNet-50, Pre-trained=ImageNet, Batch Size=64, Optimizer=SGD, Initial Learning Rate=0.0012019.0869.47
Cross-entropyPre-training=ImageNet2021.0369.21
Co-teachingBackbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=false2021.0469.2
NoneTraining=noisy train, Pre-training=ImageNet2020.0368.94
BootstrapBackbone=ResNet-50, Pre-trained=ImageNet, Batch Size=64, Optimizer=SGD, Initial Learning Rate=0.0012019.0868.91
F-correctionBackbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=false2021.0468.9
CEBackbone=ResNet-50, Pre-trained=ImageNet, Batch Size=64, Optimizer=SGD, Initial Learning Rate=0.0012019.0868.8
DecouplingBackbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=false2021.0468.5
CEBackbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=false2021.0467.2
Co-teaching+Backbone=ResNet-18, Pre-trained=ImageNet, Balanced subset or loss=false2021.0459.3