Image Classification on CIFAR-FS 5-shot (test)
88.38AccuracyM-SVM (best)
Evaluation results
| Method | Links | |
|---|---|---|
| M-SVM (best)configuration=best, task_augmentation=true2020.02 | 88.38 | |
| R2-D2 (best)configuration=best, task_augmentation=true2020.02 | 88.33 | |
| M-SVM2020.02 | 85 | |
| ProtoNets2020.02 | 83.5 | |
| R2-D22020.02 | 79.4 | |
| MAML2020.02 | 71.5 |