Few-Shot Image Classification on Mini-ImageNet-CUB 5-way (1-shot)

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	TRIDENT	84.61	No	Transductive Decoupled Variational Inference for...	2022-08-22	Code
2	PEMnE-BMS*	63.9	No	Squeezing Backbone Feature Distributions to the ...	2021-10-18	Code
3	PT+MAP	62.49	No	Leveraging the Feature Distribution in Transfer-...	2020-06-06	Code
4	DAPNA	49.44	No	Few-Shot Learning as Domain Adaptation: Algorith...	2020-02-06	-
5	MatchingNet (Vinyals et al., 2016)	45.59	No	Matching Networks for One Shot Learning	2016-06-13	Code
6	ProtoNet (Snell et al., 2017)	45.31	No	Prototypical Networks for Few-shot Learning	2017-03-15	Code
7	RelationNet (Sung et al., 2018)	42.91	No	Learning to Compare: Relation Network for Few-Sh...	2017-11-16	Code
8	DKT + CosSim	40.22	No	Bayesian Meta-Learning for the Few-Shot Setting ...	2019-10-11	Code
9	MAML (Finn et al., 2017)	40.15	No	Model-Agnostic Meta-Learning for Fast Adaptation...	2017-03-09	Code
10	HyperShot	40.03	No	HyperShot: Few-Shot Learning by Kernel HyperNetw...	2022-03-21	Code
11	FEAT (Ye et al., 2018)	39	No	Few-Shot Learning via Embedding Adaptation with ...	2018-12-10	Code
12	Baseline++ (Chen et al., 2019)	33.04	No	A Closer Look at Few-shot Classification	2019-04-08	Code

#1TRIDENTSOTA
84.61
Accuracy· 2022-08-22
Transductive Decoupled Variational Inference for Few-Shot Classification Code
#2PEMnE-BMS*SOTA
63.9
Accuracy· 2021-10-18
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Code
#3PT+MAPSOTA
62.49
Accuracy· 2020-06-06
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Code
#4DAPNASOTA
49.44
Accuracy· 2020-02-06
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
#5MatchingNet (Vinyals et al., 2016)SOTA
45.59
Accuracy· 2016-06-13
Matching Networks for One Shot Learning Code
#6ProtoNet (Snell et al., 2017)
45.31
Accuracy· 2017-03-15
Prototypical Networks for Few-shot Learning Code
#7RelationNet (Sung et al., 2018)
42.91
Accuracy· 2017-11-16
Learning to Compare: Relation Network for Few-Shot Learning Code
#8DKT + CosSim
40.22
Accuracy· 2019-10-11
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Code
#9MAML (Finn et al., 2017)
40.15
Accuracy· 2017-03-09
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Code
#10HyperShot
40.03
Accuracy· 2022-03-21
HyperShot: Few-Shot Learning by Kernel HyperNetworks Code
#11FEAT (Ye et al., 2018)
39
Accuracy· 2018-12-10
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Code
#12Baseline++ (Chen et al., 2019)
33.04
Accuracy· 2019-04-08
A Closer Look at Few-shot Classification Code