| few-shot-image-classification-on-omniglot-1-shot-5-way | Relation Net | #4 | Accuracy: 99.6 |
| few-shot-image-classification-on-mini-imagenet-cub-5-way-1-shot | RelationNet (Sung et al., 2018) | #6 | Accuracy: 42.91 |
| few-shot-image-classification-on-omniglot-1-shot-20-way | Relation Net | #7 | Accuracy: 97.6% |
| few-shot-image-classification-on-omniglot-5-shot-5-way | Relation Net | #7 | Accuracy: 99.8 |
| few-shot-image-classification-on-tiered-imagenet-10-way-5-shot | Relation Networks | #7 | Accuracy: 58.0 |
| few-shot-image-classification-on-mini-imagenet-10-way-1-shot | Relation Networks | #8 | Accuracy: 34.9 |
| few-shot-image-classification-on-omniglot-5-shot-20-way | Relation Net | #9 | Accuracy: 99.1% |
| few-shot-image-classification-on-tiered-imagenet-10-way-1-shot | Relation Networks | #9 | Accuracy: 36.3 |
| few-shot-image-classification-on-mini-imagenet-10-way-5-shot | Relation Networks | #11 | Accuracy: 47.9 |
| few-shot-image-classification-on-meta-dataset-rank | Relation Networks | #13 | Mean Rank: 11.8 |
| few-shot-image-classification-on-meta-dataset | Relation Networks | #21 | Accuracy: 53.315 |
| few-shot-image-classification-on-cub-200-5-way-5-shot | Relation Net | #30 | Accuracy: 65.32 |
| few-shot-image-classification-on-cub-200-5-way-1-shot | Relation Net | #33 | Accuracy: 50.44 |
| few-shot-image-classification-on-cifar-fs-5-way-5-shot | Relation Networks* | #36 | Accuracy: 69.3 |
| few-shot-image-classification-on-mini-imagenet-5-way-1-shot | Relation Net (Sung et al., 2018) | #90 | Accuracy: 50.4 |