| category-agnostic-pose-estimation-on-mp100 | ProtoNet | #3 | Mean PCK@0.2 - 1shot: 44.78 |
| few-shot-image-classification-on-stanford-cars-5-way-1-shot | Prototypical Nets++ | #3 | Accuracy: 40.90 |
| few-shot-image-classification-on-stanford-cars-5-way-5-shot | Prototypical Nets++ | #3 | Accuracy: 52.93 |
| few-shot-image-classification-on-stanford-dogs-5-way-5-shot | Prototypical Nets++ | #3 | Accuracy: 48.19 |
| few-shot-image-classification-on-mini-imagenet-cub-5-way-1-shot | ProtoNet (Snell et al., 2017) | #5 | Accuracy: 45.31 |
| few-shot-image-classification-on-tiered-imagenet-10-way-5-shot | Prototypical Networks (Higher Way) | #6 | Accuracy: 58.3 |
| few-shot-image-classification-on-tiered-imagenet-10-way-5-shot | Prototypical Networks | #9 | Accuracy: 57.8 |
| few-shot-image-classification-on-dirichlet-mini-imagenet-5-way-5-shot | ProtoNet | #7 | 1:1 Accuracy: 74.2 |
| few-shot-image-classification-on-tiered-imagenet-10-way-1-shot | Prototypical Networks (Higher Way) | #7 | Accuracy: 38.6 |
| few-shot-image-classification-on-tiered-imagenet-10-way-1-shot | Prototypical Networks | #8 | Accuracy: 37.3 |
| few-shot-image-classification-on-meta-dataset-rank | Prototypical Networks | #8 | Mean Rank: 8.5 |
| few-shot-image-classification-on-mini-imagenet-10-way-5-shot | Prototypical Networks (Higher Way) | #8 | Accuracy: 50.1 |
| few-shot-image-classification-on-mini-imagenet-10-way-5-shot | Prototypical Networks | #9 | Accuracy: 49.3 |
| few-shot-image-classification-on-dirichlet-mini-imagenet-5-way-1-shot | ProtoNet | #9 | 1:1 Accuracy: 53.6 |
| few-shot-image-classification-on-mini-imagenet-10-way-1-shot | Prototypical Networks (Higher Way) | #9 | Accuracy: 34.6 |
| few-shot-image-classification-on-mini-imagenet-10-way-1-shot | Prototypical Networks | #10 | Accuracy: 32.9 |
| few-shot-image-classification-on-omniglot-1-shot-5-way | Prototypical Networks | #9 | Accuracy: 98.8 |
| few-shot-image-classification-on-omniglot-5-shot-5-way | Prototypical Networks | #9 | Accuracy: 99.7 |
| few-shot-image-classification-on-omniglot-5-shot-20-way | Prototypical Networks | #10 | Accuracy: 98.9% |
| few-shot-image-classification-on-omniglot-1-shot-20-way | Prototypical Networks | #11 | Accuracy: 96% |
| few-shot-image-classification-on-meta-dataset | Prototypical Networks | #16 | Accuracy: 60.573 |
| few-shot-image-classification-on-mini-imagenet-5-way-5-shot | Prototypical Networks | #80 | Accuracy: 68.20 |
| few-shot-image-classification-on-mini-imagenet-5-way-1-shot | Prototypical Networks | #93 | Accuracy: 49.42 |