Few-shot Character Recognition on Omniglot (novel classes)
99.53AccuracyMAML
Evaluation Results
| Method | Links | |
|---|---|---|
| MAMLN-shot=5-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way2019.04 | 99.53 | |
| Baseline++N-shot=5-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way, Training Epochs=52019.04 | 99.38 | |
| MatchingNetN-shot=5-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way2019.04 | 99.37 | |
| RelationNetN-shot=5-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way2019.04 | 99.3 | |
| ProtoNetN-shot=5-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way2019.04 | 99.15 | |
| BaselineN-shot=5-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way, Training Epochs=52019.04 | 99.12 | |
| MAMLN-shot=1-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way2019.04 | 98.57 | |
| ProtoNetN-shot=1-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way2019.04 | 98.01 | |
| MatchingNetN-shot=1-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way2019.04 | 97.78 | |
| RelationNetN-shot=1-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way2019.04 | 97.22 | |
| Baseline++N-shot=1-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way, Training Epochs=52019.04 | 95.41 | |
| BaselineN-shot=1-shot, Backbone=Conv-4, Data Augmentation=None, N-way=5-way, Training Epochs=52019.04 | 94.89 |