Classification on ImageNet 16H noise level 125
22.6Error RateP+L
Evaluation Results
| Method | Links | |
|---|---|---|
| P+LBackbone=GoogLeNet, Calibration=MAP TS2021.09 | 22.6 | |
| P+LBackbone=GoogLeNet, Calibration=Uncalibrated2021.09 | 23.06 | |
| P+LBackbone=GoogLeNet, Calibration=IMax Binning2021.09 | 23.91 | |
| P+LBackbone=GoogLeNet, Calibration=Ensemble TS2021.09 | 24.38 | |
| L+LBackbone=GoogLeNet2021.09 | 25.64 | |
| GoogLeNetBackbone=GoogLeNet2021.09 | 27.06 | |
| Human2021.09 | 39.76 |