Few-Shot Image Classification on OMNIGLOT - 5-Shot, 5-way

Metric: Accuracy (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	MAML	99.9	No	Model-Agnostic Meta-Learning for Fast Adaptation...	2017-03-09	Code
2	APL	99.9	No	Adaptive Posterior Learning: few-shot learning w...	2019-02-07	Code
3	MC2+	99.89	No	Meta-Curvature	2019-02-09	Code
4	Relation Net	99.8	No	Learning to Compare: Relation Network for Few-Sh...	2017-11-16	Code
5	Prototypical Networks	99.7	No	Prototypical Networks for Few-shot Learning	2017-03-15	Code
6	ConvNet with Memory Module	99.6	No	Learning to Remember Rare Events	2017-03-09	Code
7	Neural Statistician	99.5	No	Towards a Neural Statistician	2016-06-07	Code
8	Reptile + Transduction	99.48	No	On First-Order Meta-Learning Algorithms	2018-03-08	Code
9	Hyperbolic ProtoNet	99.4	No	Hyperbolic Image Embeddings	2019-04-03	Code
10	adaCNN (DF)	99.37	No	Rapid Adaptation with Conditionally Shifted Neur...	2017-12-28	-
11	Matching Nets	98.9	No	Matching Networks for One Shot Learning	2016-06-13	Code