Image Classification on MNIST (Accuracy and FT Comparison)
99.13AccuracyBioTune
Evaluation results
| Method | Links | ||
|---|---|---|---|
| BioTuneBackbone=ResNet-502026.01 | 99.13 | 0.2 | |
| AutoRGNBackbone=ResNet-502026.01 | 99 | — | |
| L1-SPBackbone=ResNet-502026.01 | 98.98 | — | |
| FTBackbone=ResNet-502026.01 | 98.96 | — | |
| L2-SPBackbone=ResNet-502026.01 | 98.87 | — | |
| G-LFBackbone=ResNet-502026.01 | 98.82 | — | |
| G-FLBackbone=ResNet-502026.01 | 98.57 | — | |
| LoRABackbone=ResNet-502026.01 | 98.51 | — | |
| LPBackbone=ResNet-502026.01 | 92.53 | — |