Image Classification on Stanford Cars (25% subset)
53.16Top-1 AccuracyMGR
Evaluation results
| Method | Links | |
|---|---|---|
| MGRBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 53.16 | |
| Base ModelBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 49.33 | |
| GDA+SSLBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 47.8 | |
| GDA+MHBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 46.63 | |
| GDABackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 46.56 |