Image Classification on Stanford Cars 10% subset
23.49Top-1 AccMGR
Evaluation results
| Method | Links | |
|---|---|---|
| MGRBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 23.49 | |
| Base ModelBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 20.11 | |
| GDA+SSLBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 19.71 | |
| GDABackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 18.91 | |
| GDA+MHBackbone=ResNet18, Input Resolution=224x224, Batch size=64, Training epochs=2002023.07 | 18.4 |