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Image Classification on CIFAR-100 50% noise (test)

77.6AccuracyDM-AugDesc-WS-SAW
35.68846.56957.4568.331Mar 3, 2021

Evaluation results

MethodLinks
DM-AugDesc-WS-SAWModel Selection=Best2021.0377.6
DM-AugDesc-WS-SAWModel Selection=Last2021.0377.5
DM-AugDesc-WS-WAWModel Selection=Best2021.0377.2
DM-AugDesc-WS-WAWModel Selection=Last2021.0377
Li et al. [14]Model Selection=Best2021.0374.6
Li et al. [14]Model Selection=Last2021.0374.2
Arazo et al.Model Selection=Best2021.0366.1
Arazo et al.Model Selection=Last2021.0365.4
Li et al. [15]Model Selection=Best2021.0359.2
Li et al. [15]Model Selection=Last2021.0358
Yi & WuModel Selection=Best2021.0357.5
Zhang et al.Model Selection=Best2021.0357.3
Yi & WuModel Selection=Last2021.0356.4
Yu et al.Model Selection=Best2021.0351.8
Cross-EntropyModel Selection=Best2021.0346.7
Reed et al.Model Selection=Best2021.0346.6
Zhang et al.Model Selection=Last2021.0346.6
Yu et al.Model Selection=Last2021.0345.3
Reed et al.Model Selection=Last2021.0337.9
Cross-EntropyModel Selection=Last2021.0337.3