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Image Classification on CIFAR-100 symmetric label noise (test)

82.85Accuracy (20% Noise)MWNet
45.25455.014564.77574.5355Apr 19, 2021May 25, 2021Jun 30, 2021Aug 6, 2021Sep 11, 2021Oct 17, 2021Nov 23, 2021

Evaluation results

MethodLinks
MWNetArch=RN-50, Initializer=INet322021.0482.85—80.28—71.2958.2144.62——
CoDiM-Supepoch_selection=Best2021.1181.1——78.1—67.355.2——
CoDiM-CSSLepoch_selection=Best2021.1180.7——78—63.654.5——
CoDiM-bareepoch_selection=Best2021.1180.6——77.5—60.552.6——
CoDiM-Selfepoch_selection=Best2021.1180.4——77.2—63.656.4——
DM-AugDescepoch_selection=Best2021.1179.5——77.2—66.441.2——
C2Depoch_selection=Best2021.1178.7——76.8—59.852.1——
Divide-MixArch=PRN-18, Initializer=No2021.0477.378.974.6——60.231.5——
DivideMixepoch_selection=Best2021.1177.3——74.6—60.231.5——
LqArch=RN-50, Initializer=INet322021.0477.2281.5169.87—60.554.8344.3——
REEDepoch_selection=Best2021.1176.9——72.8—65.655.7——
ELRArch=RN-34, Initializer=No2021.0474.6876.7668.43—60.0530.27———
MWNetArch=WRN-28-10, Initializer=No2021.0473.9979.9567.7366.8858.7530.555.253.05—
M-CorrectionArch=PRN-18, Initializer=No2021.0473.974.466.1——48.224.3——
M-correctionepoch_selection=Best2021.1173.9——66.1—48.224.3——
LqArch=RN-50, Initializer=SimCLR2021.0473.3375.3670.14—63.2655.9345.7——
MWNetArch=RN-50, Initializer=SimCLR2021.0473.2—69.88—64.0557.644.91——
CCEArch=RN-50, Initializer=SimCLR2021.0471.9875.3667.89—59.8452.1139.57——
CCEArch=RN-50, Initializer=INet322021.0470.2681.5165.76—54.3338.920.59——
MLNTArch=PRN-18, Initializer=No2021.0468.574.459.2——42.419.5——
LqArch=RN-34, Initializer=No2021.0466.8176.7661.77—53.1629.16———
Cross-Entropyepoch_selection=Best2021.1162——46.7—19.910.1——
F-CorrectionArch=PRN-18, Initializer=No2021.0461.574.446.6——19.910.2——
CCEArch=PRN-18, Initializer=No2021.0446.774.4———19.910.1——
BackwardBackbone=ResNet44, Optimization Group=Results From D2L2019.03————————58.7
Boot-hardBackbone=ResNet44, Optimization Group=Results From SL2019.03————————57.9
Boot-hardBackbone=ResNet44, Optimization Group=Results From D2L2019.03————————58.5
Boot-softBackbone=ResNet44, Optimization Group=Results From D2L2019.03————————57.3
CCEBackbone=ResNet44, Optimization Group=Results From SL2019.03————————59.3
CCEBackbone=ResNet44, Optimization Group=Results From D2L2019.03————————52.9
CCEBackbone=ResNet44, Optimization Group=Our Trained Results2019.03————————60.4
D2LBackbone=ResNet44, Optimization Group=Results From SL2019.03————————59.2
D2LBackbone=ResNet44, Optimization Group=Results From D2L2019.03————————62.2
ForwardBackbone=ResNet44, Optimization Group=Results From SL2019.03————————59.8
ForwardBackbone=ResNet44, Optimization Group=Results From D2L2019.03————————60.3
GCEBackbone=ResNet44, Optimization Group=Results From SL2019.03————————59.1
IMAEBackbone=ResNet44, Optimization Group=Our Trained Results2019.03————————63.4
LSBackbone=ResNet44, Optimization Group=Results From SL2019.03————————58.8
MAEBackbone=ResNet44, Optimization Group=Our Trained Results2019.03————————6.4
SLBackbone=ResNet44, Optimization Group=Results From SL2019.03————————60