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Image Classification on CIFAR-100 80% noise (test)

66.4AccuracyDM-AugDesc-WS-WAW
6.49622.04837.653.152Mar 3, 2021

Evaluation results

MethodLinks
DM-AugDesc-WS-WAWModel Selection=Best2021.0366.4
DM-AugDesc-WS-WAWModel Selection=Last2021.0366.1
DM-AugDesc-WS-SAWModel Selection=Best2021.0361.8
DM-AugDesc-WS-SAWModel Selection=Last2021.0361.6
Li et al. [14]Model Selection=Best2021.0360.2
Li et al. [14]Model Selection=Last2021.0359.6
Arazo et al.Model Selection=Best2021.0348.2
Arazo et al.Model Selection=Last2021.0347.6
Li et al. [15]Model Selection=Best2021.0342.4
Li et al. [15]Model Selection=Last2021.0340.1
Yi & WuModel Selection=Best2021.0331.1
Zhang et al.Model Selection=Best2021.0330.8
Yu et al.Model Selection=Best2021.0327.9
Yi & WuModel Selection=Last2021.0320.7
Cross-EntropyModel Selection=Best2021.0319.9
Reed et al.Model Selection=Best2021.0319.9
Zhang et al.Model Selection=Last2021.0317.6
Yu et al.Model Selection=Last2021.0315.5
Reed et al.Model Selection=Last2021.038.9
Cross-EntropyModel Selection=Last2021.038.8