Image Classification on ImageNet noise level 95 16H (test)
7.89Error RateP+L (MAP TS)
Evaluation Results
| Method | Links | |
|---|---|---|
| P+L (MAP TS)Backbone=VGG-19, Number of seeds=25, Labeled data points=5067-5152, Calibration=MAP TS2021.09 | 7.89 | |
| P+L (Uncalibrated)Backbone=VGG-19, Number of seeds=25, Labeled data points=5067-51522021.09 | 8.02 | |
| P+L (IMax Binning)Backbone=VGG-19, Number of seeds=25, Labeled data points=5067-5152, Calibration=IMax Binning2021.09 | 8.62 | |
| L+LBackbone=VGG-19, Number of seeds=25, Labeled data points=5067-51522021.09 | 9.01 | |
| P+L (Ensemble TS)Backbone=VGG-19, Number of seeds=25, Labeled data points=5067-5152, Calibration=Ensemble TS2021.09 | 9.32 | |
| VGG-19Backbone=VGG-192021.09 | 12.58 | |
| Human2021.09 | 14.07 |