Image Classification on CUBS (eval)
83.59AccuracyCPG
Evaluation results
| Method | Links | |
|---|---|---|
| CPGBackbone=ResNet-50, Model Size (MB)=1212019.10 | 83.59 | |
| FinetuneBackbone=ResNet-50, Model Size (MB)=5542019.10 | 82.83 | |
| PiggybackBackbone=ResNet-50, Model Size (MB)=1212019.10 | 81.59 | |
| PackNetBackbone=ResNet-50, Model Size (MB)=1152019.10 | 80.41 | |
| ProgressiveNetBackbone=ResNet-50, Model Size (MB)=5632019.10 | 78.94 | |
| Train from ScratchBackbone=ResNet-50, Model Size (MB)=5542019.10 | 40.96 |