Few-Shot Image Classification on Mini-Imagenet 10-way (5-shot)

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	Transductive CNAPS + FETI	85.9	Yes	Enhancing Few-Shot Image Classification with Unl...	2020-06-17	Code
2	Simple CNAPS + FETI	83.1	Yes	Improved Few-Shot Visual Classification	2019-12-07	Code
3	TIM-GD	72.8	No	Transductive Information Maximization For Few-Sh...	2020-08-25	Code
4	Transductive CNAPS	59.6	No	Enhancing Few-Shot Image Classification with Unl...	2020-06-17	Code
5	Simple CNAPS	56.7	No	Improved Few-Shot Visual Classification	2019-12-07	Code
6	TPN (Higher Shot)	52.8	No	Learning to Propagate Labels: Transductive Propa...	2018-05-25	Code
7	Label Propagation	51.2	No	Learning to Propagate Labels: Transductive Propa...	2018-05-25	Code
8	Prototypical Networks (Higher Way)	50.1	No	Prototypical Networks for Few-shot Learning	2017-03-15	Code
9	Prototypical Networks	49.3	No	Prototypical Networks for Few-shot Learning	2017-03-15	Code
10	MAML + Transduction	48.2	No	Model-Agnostic Meta-Learning for Fast Adaptation...	2017-03-09	Code
11	Relation Networks	47.9	No	Learning to Compare: Relation Network for Few-Sh...	2017-11-16	Code
12	Reptile+BN	47.6	No	On First-Order Meta-Learning Algorithms	2018-03-08	Code
13	MAML	46.9	No	Model-Agnostic Meta-Learning for Fast Adaptation...	2017-03-09	Code
14	Reptile	44.7	No	On First-Order Meta-Learning Algorithms	2018-03-08	Code