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Image Classification on mini-ImageNet-Red (80% noise)

51.2AccuracyNCR
28.902434.691240.4846.2688Feb 4, 2022Mar 11, 2022Apr 15, 2022May 20, 2022Jun 24, 2022Jul 29, 2022Sep 2, 2022

Evaluation results

MethodLinks
NCRBackbone=ResNet-18, Training Protocol=NCR2022.0251.2
Label smoothingBackbone=ResNet-18, Training Protocol=Baseline2022.0250.2
StandardBackbone=ResNet-18, Training Protocol=Baseline2022.0249.3
NCR + MixupBackbone=ResNet-18, Training Protocol=NCR, Data Augmentation=Mixup2022.0248.9
BootstrapBackbone=ResNet-18, Training Protocol=Baseline2022.0248.8
MixupBackbone=ResNet-18, Training Protocol=Baseline, Data Augmentation=Mixup2022.0248.7
MixupBackbone=ResNet-18, Training Protocol=Oracle: Clean Subset, Data Augmentation=Mixup2022.0248.7
StandardBackbone=ResNet-18, Training Protocol=Oracle: Clean Subset2022.0247.5
Label smoothing + MixupBackbone=ResNet-18, Training Protocol=Baseline, Data Augmentation=Mixup2022.0247.3
MOITBackbone=ResNet-18, Training Protocol=Other Works2022.0245.9
InstanceGM-SSself-supervised learning=true2022.0944.03
PropMixself-supervised learning=true2022.0943.42
Bootstrap + MixupBackbone=ResNet-18, Training Protocol=Baseline, Data Augmentation=Mixup2022.0242.2
ELRBackbone=ResNet-18, Training Protocol=Other Works2022.0241.7
InstanceGMself-supervised learning=false2022.0939.62
FaMUSself-supervised learning=false2022.0935.5
D-MixBackbone=ResNet-18, Training Protocol=Other Works2022.0235.4
DivideMixself-supervised learning=false2022.0934.5
MixUpself-supervised learning=false2022.0933.58
MentorMixself-supervised learning=false2022.0933.46
CEself-supervised learning=false2022.0929.76