Image Classification on Standard Cars
90.17Top-1 AccuracyCore-tuning
Evaluation results
| Method | Links | |
|---|---|---|
| Core-tuningBackbone=ResNet-50, Pre-training=MoCo-v22021.02 | 90.17 | |
| SL-CE-tuningBackbone=ResNet-50, Pre-training=Supervised2021.02 | 89.77 | |
| RIFLEBackbone=ResNet-50, Pre-training=MoCo-v22021.02 | 89.72 | |
| Bi-tuningBackbone=ResNet-50, Pre-training=MoCo-v22021.02 | 89.41 | |
| SCLBackbone=ResNet-50, Pre-training=MoCo-v22021.02 | 89.37 | |
| L2SPBackbone=ResNet-50, Pre-training=MoCo-v22021.02 | 89 | |
| M&MBackbone=ResNet-50, Pre-training=MoCo-v22021.02 | 88.9 | |
| DELTABackbone=ResNet-50, Pre-training=MoCo-v22021.02 | 88.73 | |
| CE-tuningBackbone=ResNet-50, Pre-training=MoCo-v22021.02 | 88.61 | |
| BSSBackbone=ResNet-50, Pre-training=MoCo-v22021.02 | 88.5 |