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

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	TRIDENT	80.74	No	Transductive Decoupled Variational Inference for...	2022-08-22	Code
2	PEMnE-BMS	79.15	No	Squeezing Backbone Feature Distributions to the ...	2021-10-18	Code
3	PT+MAP	76.51	No	Leveraging the Feature Distribution in Transfer-...	2020-06-06	Code
4	DAPNA	68.33	No	Few-Shot Learning as Domain Adaptation: Algorith...	2020-02-06	-
5	LaplacianShot	66.33	No	Laplacian Regularized Few-Shot Learning	2020-06-28	Code
6	Baseline++ (Chen et al., 2019)	62.04	No	A Closer Look at Few-shot Classification	2019-04-08	Code
7	HyperShot	58.86	No	HyperShot: Few-Shot Learning by Kernel HyperNetw...	2022-03-21	Code
8	DKT + BNCosSim	56.4	No	Bayesian Meta-Learning for the Few-Shot Setting ...	2019-10-11	Code

#1TRIDENTSOTA
80.74
Accuracy· 2022-08-22
Transductive Decoupled Variational Inference for Few-Shot Classification Code
#2PEMnE-BMSSOTA
79.15
Accuracy· 2021-10-18
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Code
#3PT+MAPSOTA
76.51
Accuracy· 2020-06-06
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Code
#4DAPNASOTA
68.33
Accuracy· 2020-02-06
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
#5LaplacianShot
66.33
Accuracy· 2020-06-28
Laplacian Regularized Few-Shot Learning Code
#6Baseline++ (Chen et al., 2019)SOTA
62.04
Accuracy· 2019-04-08
A Closer Look at Few-shot Classification Code
#7HyperShot
58.86
Accuracy· 2022-03-21
HyperShot: Few-Shot Learning by Kernel HyperNetworks Code
#8DKT + BNCosSim
56.4
Accuracy· 2019-10-11
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Code