Image Classification on Flowers (test)
83.79Top-1 Acc (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 | 83.79 | 73.32 | 57.52 | 31.09 | |
| LSBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 83.62 | 72.35 | 54.23 | 28.6 | |
| l2-PGMBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 83.45 | 73.24 | 56.51 | 31.04 | |
| SCEBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 83.45 | 73.11 | 55.96 | 29.22 | |
| APLBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 83.42 | 72.06 | 54.96 | 28.86 | |
| DACBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 83.4 | 72.73 | 55.27 | 28.95 | |
| ELRBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 83.38 | 72.53 | 55.74 | 30.17 | |
| Fine-tuningBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 83.13 | 72.23 | 55.27 | 29.35 | |
| GCEBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 83.09 | 71.74 | 54.73 | 28.38 | |
| SATBackbone=ResNet-18, Optimizer=Adam, Initial Learning Rate=0.0001, Epochs=30, Seeds=3, Noise Type=Independent noise2021.11 | 82.49 | 72.52 | 55.1 | 27.82 |