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Image Classification on CIFAR-100 20% noise (test)

79.6AccuracyDM-AugDesc-WS-SAW
61.08865.89470.775.506Mar 3, 2021

Evaluation results

MethodLinks
DM-AugDesc-WS-SAWModel Selection=Best2021.0379.6
DM-AugDesc-WS-SAWModel Selection=Last2021.0379.5
DM-AugDesc-WS-WAWModel Selection=Best2021.0379.5
DM-AugDesc-WS-WAWModel Selection=Last2021.0379.2
Li et al. [14]Model Selection=Best2021.0377.3
Li et al. [14]Model Selection=Last2021.0376.9
Arazo et al.Model Selection=Best2021.0373.9
Arazo et al.Model Selection=Last2021.0373.4
Yi & WuModel Selection=Best2021.0369.4
Li et al. [15]Model Selection=Best2021.0368.5
Yi & WuModel Selection=Last2021.0368.1
Zhang et al.Model Selection=Best2021.0367.8
Li et al. [15]Model Selection=Last2021.0367.7
Zhang et al.Model Selection=Last2021.0366
Yu et al.Model Selection=Best2021.0365.6
Yu et al.Model Selection=Last2021.0364.1
Reed et al.Model Selection=Best2021.0362.1
Cross-EntropyModel Selection=Best2021.0362
Reed et al.Model Selection=Last2021.0362
Cross-EntropyModel Selection=Last2021.0361.8