Image Classification on Tiny ImageNet 0-99
45.6AccuracyUQGAN
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| UQGANMC-Dropout=true2022.01 | 45.6 | 79.18 | 5.92 | |
| MC-Dropout2022.01 | 43.48 | 80.63 | 2.79 | |
| Deep-Ensembles2022.01 | 42.48 | 81.29 | 16.5 | |
| Entropy Oracle2022.01 | 37.18 | 79.5 | 17.05 | |
| Confident Classifier2022.01 | 36.07 | 78.66 | 35.48 | |
| Max. Softmax2022.01 | 36.06 | 78.56 | 26.01 | |
| Entropy2022.01 | 36.06 | 79.39 | 26.01 | |
| One-vs-All Baseline2022.01 | 35.18 | 76.23 | 11.59 | |
| One-vs-All Oracle2022.01 | 34.92 | 75.1 | 20.61 | |
| UQGANMC-Dropout=false2022.01 | 34.28 | 71.9 | 48.94 | |
| Bayes-by-Backprop2022.01 | 32.31 | 78.44 | 19.39 | |
| GEN2022.01 | 30.54 | 73.4 | 28.79 |