| category-agnostic-pose-estimation-on-mp100 | ProtoNet | #3 | Mean PCK@0.2 - 1shot: 44.78 |
| few-shot-image-classification-on-dirichlet | ProtoNet | #9 | 1:1 Accuracy: 53.6 |
| few-shot-image-classification-on-dirichlet-1 | ProtoNet | #7 | 1:1 Accuracy: 74.2 |
| few-shot-image-classification-on-meta-dataset | Prototypical Networks | #16 | Accuracy: 60.573 |
| few-shot-image-classification-on-meta-dataset-1 | Prototypical Networks | #8 | Mean Rank: 8.5 |
| few-shot-image-classification-on-mini-12 | Prototypical Networks (Higher Way) | #9 | Accuracy: 34.6 |
| few-shot-image-classification-on-mini-12 | Prototypical Networks | #10 | Accuracy: 32.9 |
| few-shot-image-classification-on-mini-13 | Prototypical Networks (Higher Way) | #8 | Accuracy: 50.1 |
| few-shot-image-classification-on-mini-13 | Prototypical Networks | #9 | Accuracy: 49.3 |
| few-shot-image-classification-on-mini-2 | Prototypical Networks | #92 | Accuracy: 49.42 |
| few-shot-image-classification-on-mini-3 | Prototypical Networks | #79 | Accuracy: 68.20 |
| few-shot-image-classification-on-mini-5 | ProtoNet (Snell et al., 2017) | #5 | Accuracy: 45.31 |
| few-shot-image-classification-on-omniglot-1-1 | Prototypical Networks | #11 | Accuracy: 96% |
| few-shot-image-classification-on-omniglot-1-2 | Prototypical Networks | #9 | Accuracy: 98.8 |
| few-shot-image-classification-on-omniglot-5-1 | Prototypical Networks | #10 | Accuracy: 98.9% |
| few-shot-image-classification-on-omniglot-5-2 | Prototypical Networks | #9 | Accuracy: 99.7 |
| few-shot-image-classification-on-stanford-1 | Prototypical Nets++ | #3 | Accuracy: 48.19 |
| few-shot-image-classification-on-stanford-2 | Prototypical Nets++ | #3 | Accuracy: 40.90 |
| few-shot-image-classification-on-stanford-3 | Prototypical Nets++ | #3 | Accuracy: 52.93 |
| few-shot-image-classification-on-tiered-2 | Prototypical Networks (Higher Way) | #7 | Accuracy: 38.6 |
| few-shot-image-classification-on-tiered-2 | Prototypical Networks | #8 | Accuracy: 37.3 |
| few-shot-image-classification-on-tiered-3 | Prototypical Networks (Higher Way) | #6 | Accuracy: 58.3 |
| few-shot-image-classification-on-tiered-3 | Prototypical Networks | #9 | Accuracy: 57.8 |