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Image Classification on CIFAR-100 90% noise (test)

41.2AccuracyDM-AugDesc-WS-WAW
1.99212.17122.3532.529Mar 3, 2021

Evaluation results

MethodLinks
DM-AugDesc-WS-WAWModel Selection=Best2021.0341.2
DM-AugDesc-WS-WAWModel Selection=Last2021.0340.9
Li et al. [14]Model Selection=Best2021.0331.5
Li et al. [14]Model Selection=Last2021.0331
Arazo et al.Model Selection=Best2021.0324.3
Arazo et al.Model Selection=Last2021.0320.5
Li et al. [15]Model Selection=Best2021.0319.5
DM-AugDesc-WS-SAWModel Selection=Best2021.0317.3
Yi & WuModel Selection=Best2021.0315.3
DM-AugDesc-WS-SAWModel Selection=Last2021.0315.1
Zhang et al.Model Selection=Best2021.0314.6
Li et al. [15]Model Selection=Last2021.0314.3
Yu et al.Model Selection=Best2021.0313.7
Reed et al.Model Selection=Best2021.0310.2
Cross-EntropyModel Selection=Best2021.0310.1
Yu et al.Model Selection=Last2021.038.8
Yi & WuModel Selection=Last2021.038.8
Zhang et al.Model Selection=Last2021.038.1
Reed et al.Model Selection=Last2021.033.8
Cross-EntropyModel Selection=Last2021.033.5