Image Classification on K-MNIST (test)
98.9AccuracyResNet18 + VGG Ensemble
Evaluation results
| Method | Links | |
|---|---|---|
| ResNet18 + VGG Ensemble2019.05 | 98.9 | |
| µ2NetIteration=1st, Knowledge Reuse=false2022.05 | 98.68 | |
| µ2NetIteration=2nd, Knowledge Reuse=false2022.05 | 98.6 | |
| PreActResNet-182019.05 | 97.82 | |
| CTMReporting statistic=Peak2019.05 | 96.31 | |
| CTMReporting statistic=95 %ile2019.05 | 96.25 | |
| CTMReporting statistic=Mean2019.05 | 96.08 | |
| Ajayan & James (2021)2022.05 | 95.4 | |
| Simple CNN2019.05 | 95.12 | |
| SVM2019.05 | 92.82 | |
| TM2019.05 | 92.03 | |
| 4-Nearest Neighbour2019.05 | 91.56 |