Image Classification on CIFAR-10 standard (test) (Accuracy under 10%, 30%, 40% Noise)
95.4Accuracy (10% Noise)ELR*
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ELR*noise_type=asymmetric, implementation=re-run by authors2022.03 | 95.4 | 94.7 | 93 | |
| UNICONnoise_type=asymmetric2022.03 | 95.3 | 94.8 | 94.1 | |
| JPLnoise_type=asymmetric2022.03 | 94.2 | 92.5 | 90.7 | |
| MOITnoise_type=asymmetric2022.03 | 94.2 | 94.1 | 93.2 | |
| DMix*noise_type=asymmetric, implementation=re-run by authors2022.03 | 93.8 | 92.5 | 91.7 | |
| M-Upnoise_type=asymmetric2022.03 | 93.3 | 83.3 | 77.7 | |
| PCILnoise_type=asymmetric2022.03 | 93.1 | 92.9 | 91.6 | |
| LDMInoise_type=asymmetric2022.03 | 91.1 | 91.2 | 84 | |
| CEnoise_type=asymmetric2022.03 | 88.8 | 81.7 | 76.1 |