| few-shot-image-classification-on-cifar-fs-5-1 | Relation Networks* | #36 | Accuracy: 69.3 |
| few-shot-image-classification-on-cub-200-5 | Relation Net | #30 | Accuracy: 65.32 |
| few-shot-image-classification-on-cub-200-5-1 | Relation Net | #33 | Accuracy: 50.44 |
| few-shot-image-classification-on-meta-dataset | Relation Networks | #21 | Accuracy: 53.315 |
| few-shot-image-classification-on-meta-dataset-1 | Relation Networks | #13 | Mean Rank: 11.8 |
| few-shot-image-classification-on-mini-12 | Relation Networks | #8 | Accuracy: 34.9 |
| few-shot-image-classification-on-mini-13 | Relation Networks | #11 | Accuracy: 47.9 |
| few-shot-image-classification-on-mini-2 | Relation Net (Sung et al., 2018) | #89 | Accuracy: 50.4 |
| few-shot-image-classification-on-mini-5 | RelationNet (Sung et al., 2018) | #6 | Accuracy: 42.91 |
| few-shot-image-classification-on-omniglot-1-1 | Relation Net | #7 | Accuracy: 97.6% |
| few-shot-image-classification-on-omniglot-1-2 | Relation Net | #4 | Accuracy: 99.6 |
| few-shot-image-classification-on-omniglot-5-1 | Relation Net | #9 | Accuracy: 99.1% |
| few-shot-image-classification-on-omniglot-5-2 | Relation Net | #7 | Accuracy: 99.8 |
| few-shot-image-classification-on-tiered-2 | Relation Networks | #9 | Accuracy: 36.3 |
| few-shot-image-classification-on-tiered-3 | Relation Networks | #7 | Accuracy: 58.0 |