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Image Classification on CIFAR-100 semantic noise (test)

68.44AccuracyScanMix
30.199240.127150.05559.9829Mar 21, 2021

Evaluation results

MethodLinks
ScanMixBackbone=DenseNet, Noise ratio=34%2021.0368.44
DivideMixBackbone=DenseNet, Noise ratio=34%2021.0368.4
ScanMixBackbone=ResNet, Noise ratio=37%2021.0367.36
ScanMixBackbone=VGG, Noise ratio=37%2021.0367.34
DivideMixBackbone=VGG, Noise ratio=37%2021.0366.84
DivideMixBackbone=ResNet, Noise ratio=37%2021.0366.28
CE + ROGBackbone=DenseNet, Noise ratio=34%2021.0361.14
Bootstrap + ROGBackbone=DenseNet, Noise ratio=34%2021.0354.71
Backward + ROGBackbone=DenseNet, Noise ratio=34%2021.0354.01
Forward + RoGBackbone=DenseNet, Noise ratio=34%2021.0353.91
Bootstrap + ROGBackbone=VGG, Noise ratio=37%2021.0353.76
CE + ROGBackbone=VGG, Noise ratio=37%2021.0353.64
Forward + RoGBackbone=VGG, Noise ratio=37%2021.0353.63
Backward + ROGBackbone=VGG, Noise ratio=37%2021.0353.5
Forward + RoGBackbone=ResNet, Noise ratio=37%2021.0353.36
Bootstrap + ROGBackbone=ResNet, Noise ratio=37%2021.0353.3
CE + ROGBackbone=ResNet, Noise ratio=37%2021.0353.09
Backward + ROGBackbone=ResNet, Noise ratio=37%2021.0353.03
D2L + ROGBackbone=VGG, Noise ratio=37%2021.0345.42
D2L + ROGBackbone=ResNet, Noise ratio=37%2021.0339.92
D2L + ROGBackbone=DenseNet, Noise ratio=34%2021.0331.67