Few-Shot Image Classification on Dirichlet CUB-200 (5-way, 5-shot)

Metric: 1:1 Accuracy (higher is better)

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#	Model↕	1:1 Accuracy▼	Extra Data	Paper	Date↕	Code
1	BAVARDAGE	90.7	No	Adaptive Dimension Reduction and Variational Inf...	2022-09-18	-
2	\alpha-TIM	89.8	No	Realistic Evaluation of Transductive Few-Shot Le...	2022-04-24	Code
3	Laplacian-Shot	87.7	No	Laplacian Regularized Few-Shot Learning	2020-06-28	Code
4	Simpleshot	87.5	No	SimpleShot: Revisiting Nearest-Neighbor Classifi...	2019-11-12	Code
5	Baseline++	87.5	No	A Closer Look at Few-shot Classification	2019-04-08	Code
6	BDCSPN	87.1	No	Prototype Rectification for Few-Shot Learning	2019-11-25	Code
7	Entropy Minimization	82.9	No	A Baseline for Few-Shot Image Classification	2019-09-06	Code
8	PT-MAP	71.3	No	Leveraging the Feature Distribution in Transfer-...	2020-06-06	Code

#1BAVARDAGESOTA
90.7
1:1 Accuracy· 2022-09-18
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
#2\alpha-TIMSOTA
89.8
1:1 Accuracy· 2022-04-24
Realistic Evaluation of Transductive Few-Shot Learning Code
#3Laplacian-ShotSOTA
87.7
1:1 Accuracy· 2020-06-28
Laplacian Regularized Few-Shot Learning Code
#4Simpleshot
87.5
1:1 Accuracy· 2019-11-12
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Code
#5Baseline++SOTA
87.5
1:1 Accuracy· 2019-04-08
A Closer Look at Few-shot Classification Code
#6BDCSPN
87.1
1:1 Accuracy· 2019-11-25
Prototype Rectification for Few-Shot Learning Code
#7Entropy Minimization
82.9
1:1 Accuracy· 2019-09-06
A Baseline for Few-Shot Image Classification Code
#8PT-MAP
71.3
1:1 Accuracy· 2020-06-06
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Code