Image Classification Robustness on CUB-200 2011 (test) (Noise Perturbation)
71.76Top-1 Accuracy (20% Noise)REGSL
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| REGSLBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 71.76 | 62.79 | 45.85 | 17.88 | |
| SCEBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 70.68 | 61.33 | 43.67 | 17.62 | |
| APLBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 70.59 | 59.68 | 40.46 | 14.69 | |
| ELRBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 69.92 | 58.69 | 40.76 | 16.68 | |
| LSBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 69.89 | 59.18 | 41.58 | 16.96 | |
| l2-PGMBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 69.71 | 58.91 | 41.52 | 16.76 | |
| GCEBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 69.54 | 60.15 | 41.84 | 17.77 | |
| SATBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 68.69 | 57.34 | 38.75 | 15.14 | |
| DACBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 68.58 | 57.37 | 40 | 15.92 | |
| Fine-tuningBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 68.28 | 56.88 | 39.54 | 16.21 |