Few-Shot Image Classification on Mini-Imagenet 10-way (1-shot)

Metric: Accuracy (higher is better)

LeaderboardDataset

Loading chart...

Results

Hide extra data

Sort:

#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	Transductive CNAPS + FETI	68.5	Yes	Enhancing Few-Shot Image Classification with Unl...	2020-06-17	Code
2	Simple CNAPS + FETI	63.5	Yes	Improved Few-Shot Visual Classification	2019-12-07	Code
3	TIM-GD	56.1	No	Transductive Information Maximization For Few-Sh...	2020-08-25	Code
4	Transductive CNAPS	42.8	No	Enhancing Few-Shot Image Classification with Unl...	2020-06-17	Code
5	TPN (Higher Shot)	38.4	No	Learning to Propagate Labels: Transductive Propa...	2018-05-25	Code
6	Simple CNAPS	37.1	No	Improved Few-Shot Visual Classification	2019-12-07	Code
7	Label Propagation	35.2	No	Learning to Propagate Labels: Transductive Propa...	2018-05-25	Code
8	Relation Networks	34.9	No	Learning to Compare: Relation Network for Few-Sh...	2017-11-16	Code
9	Prototypical Networks (Higher Way)	34.6	No	Prototypical Networks for Few-shot Learning	2017-03-15	Code
10	Prototypical Networks	32.9	No	Prototypical Networks for Few-shot Learning	2017-03-15	Code
11	Reptile+BN	32	No	On First-Order Meta-Learning Algorithms	2018-03-08	Code
12	MAML + Transduction	31.8	No	Model-Agnostic Meta-Learning for Fast Adaptation...	2017-03-09	Code
13	MAML	31.3	No	Model-Agnostic Meta-Learning for Fast Adaptation...	2017-03-09	Code
14	Reptile	31.1	No	On First-Order Meta-Learning Algorithms	2018-03-08	Code

#1Transductive CNAPS + FETISOTA
68.5
Accuracy· Extra Data· 2020-06-17
Enhancing Few-Shot Image Classification with Unlabelled Examples Code
#2Simple CNAPS + FETISOTA
63.5
Accuracy· Extra Data· 2019-12-07
Improved Few-Shot Visual Classification Code
#3TIM-GD
56.1
Accuracy· 2020-08-25
Transductive Information Maximization For Few-Shot Learning Code
#4Transductive CNAPS
42.8
Accuracy· 2020-06-17
Enhancing Few-Shot Image Classification with Unlabelled Examples Code
#5TPN (Higher Shot)SOTA
38.4
Accuracy· 2018-05-25
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Code
#6Simple CNAPS
37.1
Accuracy· 2019-12-07
Improved Few-Shot Visual Classification Code
#7Label Propagation
35.2
Accuracy· 2018-05-25
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Code
#8Relation NetworksSOTA
34.9
Accuracy· 2017-11-16
Learning to Compare: Relation Network for Few-Shot Learning Code
#9Prototypical Networks (Higher Way)SOTA
34.6
Accuracy· 2017-03-15
Prototypical Networks for Few-shot Learning Code
#10Prototypical Networks
32.9
Accuracy· 2017-03-15
Prototypical Networks for Few-shot Learning Code
#11Reptile+BN
32
Accuracy· 2018-03-08
On First-Order Meta-Learning Algorithms Code
#12MAML + TransductionSOTA
31.8
Accuracy· 2017-03-09
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Code
#13MAML
31.3
Accuracy· 2017-03-09
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Code
#14Reptile
31.1
Accuracy· 2018-03-08
On First-Order Meta-Learning Algorithms Code