Image Classification on CIFAR-10 50% noise (test)
95.6AccuracyDM-AugDesc-WS-SAW
Evaluation results
| Method | Links | |
|---|---|---|
| DM-AugDesc-WS-SAWModel Selection=Best2021.03 | 95.6 | |
| DM-AugDesc-WS-SAWModel Selection=Last2021.03 | 95.4 | |
| DM-AugDesc-WS-WAWModel Selection=Best2021.03 | 95.4 | |
| DM-AugDesc-WS-WAWModel Selection=Last2021.03 | 95.1 | |
| Li et al. [14]Model Selection=Best2021.03 | 94.6 | |
| Li et al. [14]Model Selection=Last2021.03 | 94.4 | |
| Arazo et al.Model Selection=Best2021.03 | 92 | |
| Arazo et al.Model Selection=Last2021.03 | 91.9 | |
| Li et al. [15]Model Selection=Best2021.03 | 89.3 | |
| Yi & WuModel Selection=Best2021.03 | 89.1 | |
| Li et al. [15]Model Selection=Last2021.03 | 88.8 | |
| Yi & WuModel Selection=Last2021.03 | 88.7 | |
| Zhang et al.Model Selection=Best2021.03 | 87.1 | |
| Yu et al.Model Selection=Best2021.03 | 85.7 | |
| Yu et al.Model Selection=Last2021.03 | 84.1 | |
| Reed et al.Model Selection=Best2021.03 | 79.8 | |
| Cross-EntropyModel Selection=Best2021.03 | 79.4 | |
| Zhang et al.Model Selection=Last2021.03 | 77.6 | |
| Reed et al.Model Selection=Last2021.03 | 58.4 | |
| Cross-EntropyModel Selection=Last2021.03 | 57.9 |