Classification on ImageNet-16H noise level 95
9.67Error RateP+L
Evaluation Results
| Method | Links | |
|---|---|---|
| P+LBackbone=GoogLeNet, Calibration=MAP TS2021.09 | 9.67 | |
| L+LBackbone=GoogLeNet2021.09 | 9.93 | |
| P+LBackbone=GoogLeNet, Calibration=IMax Binning2021.09 | 10.05 | |
| P+LBackbone=GoogLeNet, Calibration=Ensemble TS2021.09 | 10.23 | |
| P+LBackbone=GoogLeNet, Calibration=Uncalibrated2021.09 | 10.66 | |
| Human2021.09 | 14.07 | |
| GoogLeNetBackbone=GoogLeNet2021.09 | 17.22 |