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Image Classification on CIFAR-10 20% noise (test)

96.3AccuracyDM-AugDesc-WS-SAW
82.15685.82889.593.172Mar 3, 2021

Evaluation results

MethodLinks
DM-AugDesc-WS-SAWModel Selection=Best2021.0396.3—
DM-AugDesc-WS-WAWModel Selection=Best2021.0396.3—
DM-AugDesc-WS-SAWModel Selection=Last2021.0396.2—
DM-AugDesc-WS-WAWModel Selection=Last2021.0396.2—
Li et al. [14]Model Selection=Best2021.0396.1—
Li et al. [14]Model Selection=Last2021.0395.7—
Zhang et al.Model Selection=Best2021.0395.6—
Arazo et al.Model Selection=Best2021.0394—
Arazo et al.Model Selection=Last2021.0393.8—
Li et al. [15]Model Selection=Best2021.0392.9—
Yi & WuModel Selection=Best2021.0392.4—
Zhang et al.Model Selection=Last2021.0392.3—
Yi & WuModel Selection=Last2021.0392—
Li et al. [15]Model Selection=Last2021.0392—
Yu et al.Model Selection=Best2021.0389.5—
Yu et al.Model Selection=Last2021.0388.2—
Cross-EntropyModel Selection=Best2021.0386.8—
Reed et al.Model Selection=Best2021.0386.8—
Reed et al.Model Selection=Last2021.0382.9—
Cross-EntropyModel Selection=Last2021.0382.7—
SAMMixUp=true2024.04—6.08
SAM+USEFULMixUp=true2024.04—5.82
SGDMixUp=true2024.04—9.26
SGD+USEFULMixUp=true2024.04—8.88