Image Classification on CIFAR-100 (test) (Type-I, II, III 70% Metrics)
59.39Type-I Accuracy (70%)Bootstrapping Training Algorithm
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Bootstrapping Training AlgorithmModel variant=Modified Model, Noise Level=70%, Test-Time Augmentation=true2022.10 | 59.39 | 58.95 | 58.95 | |
| Bootstrapping Training AlgorithmModel variant=Regular Model, Noise Level=70%, Test-Time Augmentation=true2022.10 | 59.27 | 54.44 | 58.77 | |
| Bootstrapping Training AlgorithmModel variant=Modified Model, Noise Level=70%, Test-Time Augmentation=false2022.10 | 58.69 | 58.03 | 57.9 | |
| Bootstrapping Training AlgorithmModel variant=Regular Model, Noise Level=70%, Test-Time Augmentation=false2022.10 | 58.15 | 53.77 | 57.81 | |
| PLCNoise Level=70%2022.10 | 45.92 | 45.03 | 44.52 | |
| Cross-EntropyNoise Level=70%2022.10 | 39.32 | 39.3 | 40.01 |