Image Classification on Flowers (eval)
0.9662AccuracyCPG
Evaluation results
| Method | Links | |
|---|---|---|
| CPGBackbone=ResNet-50, Model Size (MB)=1212019.10 | 0.9662 | |
| FinetuneBackbone=ResNet-50, Model Size (MB)=5542019.10 | 0.9656 | |
| PiggybackBackbone=ResNet-50, Model Size (MB)=1212019.10 | 0.9477 | |
| ProgressiveNetBackbone=ResNet-50, Model Size (MB)=5632019.10 | 0.9341 | |
| PackNetBackbone=ResNet-50, Model Size (MB)=1152019.10 | 0.9304 | |
| Train from ScratchBackbone=ResNet-50, Model Size (MB)=5542019.10 | 0.5973 |