Image Classification on MNIST (test) (Accuracy and Time)
99.6AccuracyLQA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LQABackbone=EfficientNet2026.01 | 99.6 | 58 | |
| DAdaptBackbone=EfficientNet2026.01 | 99.58 | 6.25 | |
| ZENITHBackbone=EfficientNet2026.01 | 99.57 | 4.39 | |
| COCOBBackbone=EfficientNet2026.01 | 99.56 | 4.05 | |
| ProdigyBackbone=EfficientNet2026.01 | 99.55 | 4.59 | |
| PALBackbone=EfficientNet2026.01 | 99.51 | 13.1 | |
| DoGBackbone=EfficientNet2026.01 | 99.5 | 14 | |
| ALIGBackbone=EfficientNet2026.01 | 99.48 | 10.8 | |
| L4Backbone=EfficientNet2026.01 | 99.45 | 7.79 | |
| DoWGBackbone=EfficientNet2026.01 | 99.41 | 3.13 | |
| SPSBackbone=EfficientNet2026.01 | 99.39 | 5.45 | |
| GeNBackbone=EfficientNet2026.01 | 99.21 | 2.24 |