Image Classification on Stanford Cars 50%
75.24Top-1 AccuracyMGR
Evaluation results
| Method | Links | |
|---|---|---|
| MGRBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 75.24 | |
| Base ModelBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 72.91 | |
| GDA+SSLBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 71.99 | |
| GDA+MHBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 71.51 | |
| GDABackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 68.81 |