Image Classification on CIFAR-10 90% noise (test)
91.9AccuracyDM-AugDesc-WS-WAW
Evaluation results
| Method | Links | |
|---|---|---|
| DM-AugDesc-WS-WAWModel Selection=Best2021.03 | 91.9 | |
| DM-AugDesc-WS-WAWModel Selection=Last2021.03 | 91.8 | |
| Li et al. [14]Model Selection=Best2021.03 | 76 | |
| Li et al. [14]Model Selection=Last2021.03 | 75.4 | |
| Arazo et al.Model Selection=Best2021.03 | 69.1 | |
| Arazo et al.Model Selection=Last2021.03 | 68.7 | |
| Yi & WuModel Selection=Best2021.03 | 58.9 | |
| Li et al. [15]Model Selection=Best2021.03 | 58.7 | |
| Li et al. [15]Model Selection=Last2021.03 | 58.3 | |
| Yi & WuModel Selection=Last2021.03 | 58.2 | |
| Zhang et al.Model Selection=Best2021.03 | 52.2 | |
| Yu et al.Model Selection=Best2021.03 | 47.9 | |
| Zhang et al.Model Selection=Last2021.03 | 43.9 | |
| Reed et al.Model Selection=Best2021.03 | 42.9 | |
| Cross-EntropyModel Selection=Best2021.03 | 42.7 | |
| DM-AugDesc-WS-SAWModel Selection=Best2021.03 | 35.3 | |
| Yu et al.Model Selection=Last2021.03 | 30.1 | |
| Reed et al.Model Selection=Last2021.03 | 17 | |
| Cross-EntropyModel Selection=Last2021.03 | 16.8 | |
| DM-AugDesc-WS-SAWModel Selection=Last2021.03 | 10 |