Image Classification on CIFAR-FS 5-way (1-shot)

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	PT+MAP+SF+SOT (transductive)	89.94	No	The Self-Optimal-Transport Feature Transform	2022-04-06	Code
2	PT+MAP+SF+BPA (transductive)	89.94	No	The Balanced-Pairwise-Affinities Feature Transform	2024-06-25	Code
3	PEMnE-BMS*	88.44	No	Squeezing Backbone Feature Distributions to the ...	2021-10-18	Code
4	LST+MAP	87.79	No	Transfer learning based few-shot classification ...	2021-02-09	Code
5	Illumination Augmentation	87.73	No	Sill-Net: Feature Augmentation with Separated Il...	2021-02-06	Code
6	PT+MAP	87.69	No	Leveraging the Feature Distribution in Transfer-...	2020-06-06	Code
7	BAVARDAGE	87.35	No	Adaptive Dimension Reduction and Variational Inf...	2022-09-18	-
8	EASY 3xResNet12 (transductive)	87.16	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
9	EASY 2xResNet12 1/√2 (transductive)	86.99	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
10	P>M>F (P=DINO-ViT-base, M=ProtoNet)	84.3	Yes	Pushing the Limits of Simple Pipelines for Few-S...	2022-04-15	Code
11	CAML [Laion-2b]	83.3	Yes	Context-Aware Meta-Learning	2023-10-17	Code
12	pseudo-shots	81.87	No	Extended Few-Shot Learning: Exploiting Existing ...	2020-12-13	Code
13	SIB	80	No	Empirical Bayes Transductive Meta-Learning with ...	2020-04-27	Code
14	HCTransformers	78.89	No	Attribute Surrogates Learning and Spectral Token...	2022-03-17	Code
15	Adaptive Subspace Network	78	No	-	-	Code
16	Invariance-Equivariance	77.87	No	Exploring Complementary Strengths of Invariant a...	2021-03-01	Code
17	FewTURE	77.76	No	Rethinking Generalization in Few-Shot Classifica...	2022-06-15	Code
18	R2-D2+Task Aug	77.66	No	Task Augmentation by Rotating for Meta-Learning	2020-02-08	Code
19	SKD	76.9	No	Self-supervised Knowledge Distillation for Few-s...	2020-06-17	Code
20	MetaOptNet-SVM+Task Aug	76.75	No	Task Augmentation by Rotating for Meta-Learning	2020-02-08	Code
21	ICI	76.51	No	Instance Credibility Inference for Few-Shot Lear...	2020-03-26	Code
22	EASY 3xResNet12 (inductive)	76.2	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
23	MetaQDA	75.83	No	Shallow Bayesian Meta Learning for Real-World Fe...	2021-01-08	Code
24	ConstellationNets	75.4	No	-	-	Code
25	EASY 2xResNet12 1/√2 (inductive)	75.24	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
26	S2M2R	74.81	No	Charting the Right Manifold: Manifold Mixup for ...	2019-07-28	Code
27	MCRNet-SVM	74.7	No	Complementing Representation Deficiency in Few-s...	2020-07-21	Code
28	RENet	74.51	No	Relational Embedding for Few-Shot Classification	2021-08-22	Code
29	SSFormers	74.5	No	Sparse Spatial Transformers for Few-Shot Learning	2021-09-27	Code
30	MCRNet-RR	73.8	No	Complementing Representation Deficiency in Few-s...	2020-07-21	Code
31	ACC + Amphibian	73.1	No	Generalized Adaptation for Few-Shot Learning	2019-11-25	-
32	MetaOptNet-SVM-trainval	72.8	No	Meta-Learning with Differentiable Convex Optimiz...	2019-04-07	Code
33	GML (ResNet-12)	71.09	No	Geometric Mean Improves Loss For Few-Shot Learning	2025-01-24	-
34	Multi-Task Learning	69.5	No	Bridging Multi-Task Learning and Meta-Learning: ...	2021-06-16	Code
35	RCN - ResNet12	69.02	No	Region Comparison Network for Interpretable Few-...	2020-09-08	Code
36	MTUNet+WRN	68.34	No	Match Them Up: Visually Explainable Few-shot Ima...	2020-11-25	Code
37	MTUNet+ResNet-18	66.31	No	Match Them Up: Visually Explainable Few-shot Ima...	2020-11-25	Code
38	RCN - Conv4-64	61.61	No	Region Comparison Network for Interpretable Few-...	2020-09-08	Code

#1PT+MAP+SF+SOT (transductive)SOTA
89.94
Accuracy· 2022-04-06
The Self-Optimal-Transport Feature Transform Code
#2PT+MAP+SF+BPA (transductive)
89.94
Accuracy· 2024-06-25
The Balanced-Pairwise-Affinities Feature Transform Code
#3PEMnE-BMS*SOTA
88.44
Accuracy· 2021-10-18
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Code
#4LST+MAPSOTA
87.79
Accuracy· 2021-02-09
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network Code
#5Illumination AugmentationSOTA
87.73
Accuracy· 2021-02-06
Sill-Net: Feature Augmentation with Separated Illumination Representation Code
#6PT+MAPSOTA
87.69
Accuracy· 2020-06-06
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Code
#7BAVARDAGE
87.35
Accuracy· 2022-09-18
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
#8EASY 3xResNet12 (transductive)
87.16
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#9EASY 2xResNet12 1/√2 (transductive)
86.99
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#10P>M>F (P=DINO-ViT-base, M=ProtoNet)
84.3
Accuracy· Extra Data· 2022-04-15
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference Code
#11CAML [Laion-2b]
83.3
Accuracy· Extra Data· 2023-10-17
Context-Aware Meta-Learning Code
#12pseudo-shots
81.87
Accuracy· 2020-12-13
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks Code
#13SIBSOTA
80
Accuracy· 2020-04-27
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients Code
#14HCTransformers
78.89
Accuracy· 2022-03-17
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Code
#15Adaptive Subspace Network
78
Accuracy
No paperCode
#16Invariance-Equivariance
77.87
Accuracy· 2021-03-01
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Code
#17FewTURE
77.76
Accuracy· 2022-06-15
Rethinking Generalization in Few-Shot Classification Code
#18R2-D2+Task AugSOTA
77.66
Accuracy· 2020-02-08
Task Augmentation by Rotating for Meta-Learning Code
#19SKD
76.9
Accuracy· 2020-06-17
Self-supervised Knowledge Distillation for Few-shot Learning Code
#20MetaOptNet-SVM+Task Aug
76.75
Accuracy· 2020-02-08
Task Augmentation by Rotating for Meta-Learning Code
#21ICI
76.51
Accuracy· 2020-03-26
Instance Credibility Inference for Few-Shot Learning Code
#22EASY 3xResNet12 (inductive)
76.2
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#23MetaQDA
75.83
Accuracy· 2021-01-08
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Code
#24ConstellationNets
75.4
Accuracy
No paperCode
#25EASY 2xResNet12 1/√2 (inductive)
75.24
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#26S2M2RSOTA
74.81
Accuracy· 2019-07-28
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Code
#27MCRNet-SVM
74.7
Accuracy· 2020-07-21
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach Code
#28RENet
74.51
Accuracy· 2021-08-22
Relational Embedding for Few-Shot Classification Code
#29SSFormers
74.5
Accuracy· 2021-09-27
Sparse Spatial Transformers for Few-Shot Learning Code
#30MCRNet-RR
73.8
Accuracy· 2020-07-21
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach Code
#31ACC + Amphibian
73.1
Accuracy· 2019-11-25
Generalized Adaptation for Few-Shot Learning
#32MetaOptNet-SVM-trainvalSOTA
72.8
Accuracy· 2019-04-07
Meta-Learning with Differentiable Convex Optimization Code
#33GML (ResNet-12)
71.09
Accuracy· 2025-01-24
Geometric Mean Improves Loss For Few-Shot Learning
#34Multi-Task Learning
69.5
Accuracy· 2021-06-16
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Code
#35RCN - ResNet12
69.02
Accuracy· 2020-09-08
Region Comparison Network for Interpretable Few-shot Image Classification Code
#36MTUNet+WRN
68.34
Accuracy· 2020-11-25
Match Them Up: Visually Explainable Few-shot Image Classification Code
#37MTUNet+ResNet-18
66.31
Accuracy· 2020-11-25
Match Them Up: Visually Explainable Few-shot Image Classification Code
#38RCN - Conv4-64
61.61
Accuracy· 2020-09-08
Region Comparison Network for Interpretable Few-shot Image Classification Code