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

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	CAML [Laion-2b]	98.8	Yes	Context-Aware Meta-Learning	2023-10-17	Code
2	TRIDENT	96.57	No	Transductive Decoupled Variational Inference for...	2022-08-22	Code
3	HCTransformers	91.72	No	Attribute Surrogates Learning and Spectral Token...	2022-03-17	Code
4	PEMnE-BMS*	91.09	No	Squeezing Backbone Feature Distributions to the ...	2021-10-18	Code
5	PT+MAP	90.44	No	Leveraging the Feature Distribution in Transfer-...	2020-06-06	Code
6	BAVARDAGE	90.41	No	Adaptive Dimension Reduction and Variational Inf...	2022-09-18	-
7	FewTURE	89.96	No	Rethinking Generalization in Few-Shot Classifica...	2022-06-15	Code
8	TIM-GD	89.8	No	Transductive Information Maximization For Few-Sh...	2020-08-25	Code
9	EASY 3xResNet12 (transductive)	89.76	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
10	MetaQDA	89.56	No	Shallow Bayesian Meta Learning for Real-World Fe...	2021-01-08	Code
11	ASY ResNet12 (transductive)	89.26	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
12	ICI	89	No	Instance Credibility Inference for Few-Shot Lear...	2020-03-26	Code
13	S2M2R	88.59	No	Charting the Right Manifold: Manifold Mixup for ...	2019-07-28	Code
14	EPNet	88.36	No	Embedding Propagation: Smoother Manifold for Few...	2020-03-09	Code
15	EASY 3xResNet12 (inductive)	88.33	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
16	LaplacianShot	87.93	No	Laplacian Regularized Few-Shot Learning	2020-06-28	Code
17	ASY ResNet12 (inductive)	87.86	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
18	BECLR	87.86	No	BECLR: Batch Enhanced Contrastive Few-Shot Learn...	2024-02-04	Code
19	Transductive CNAPS + FETI	87.7	Yes	Enhancing Few-Shot Image Classification with Unl...	2020-06-17	Code
20	BD-CSPN + ESFR (WRN)	87.61	No	Unsupervised Embedding Adaptation via Early-Stag...	2021-06-22	Code
21	ESPT	87.49	No	ESPT: A Self-Supervised Episodic Spatial Pretext...	2023-04-26	Code
22	Invariance-Equivariance	87.08	No	Exploring Complementary Strengths of Invariant a...	2021-03-01	Code
23	pseudo-shots	86.82	No	Extended Few-Shot Learning: Exploiting Existing ...	2020-12-13	Code
24	ACC + Amphibian	86.75	No	Generalized Adaptation for Few-Shot Learning	2019-11-25	-
25	SKD	86.66	No	Self-supervised Knowledge Distillation for Few-s...	2020-06-17	Code
26	SSFormers	86.61	No	Sparse Spatial Transformers for Few-Shot Learning	2021-09-27	Code
27	UniSiam	86.51	No	Self-Supervision Can Be a Good Few-Shot Learner	2022-07-19	Code
28	UniSiam	86.51	No	Self-Supervision Can Be a Good Few-Shot Learner	2022-07-19	Code
29	OSLO	86.35	No	Open-Set Likelihood Maximization for Few-Shot Le...	2023-01-20	Code
30	BD-CSPN + ESFR (ResNet-18)	86.34	No	Unsupervised Embedding Adaptation via Early-Stag...	2021-06-22	Code
31	Simple CNAPS + FETI	86	Yes	Improved Few-Shot Visual Classification	2019-12-07	Code
32	DAPNA	85.82	No	Few-Shot Learning as Domain Adaptation: Algorith...	2020-02-06	-
33	DiffKendall (Meta-Baseline, ResNet-12)	85.31	No	DiffKendall: A Novel Approach for Few-Shot Learn...	2023-07-28	Code
34	RENet	85.28	No	Relational Embedding for Few-Shot Classification	2021-08-22	Code
35	LST	85.2	No	Learning to Self-Train for Semi-Supervised Few-S...	2019-06-03	Code
36	UBC-FSL	84.3	No	Shot in the Dark: Few-Shot Learning with No Base...	2020-10-06	-
37	PDA-Net	84.2	No	Few-Shot Learning with Part Discovery and Augmen...	2021-05-25	-
38	GML (ResNet-12)	84.04	No	Geometric Mean Improves Loss For Few-Shot Learning	2025-01-24	-
39	Multi-Task Learning	83.69	No	Bridging Multi-Task Learning and Meta-Learning: ...	2021-06-16	Code
40	Adaptive Subspace Network	83.32	No	-	-	Code
41	MetaFun-Kernel	83.28	No	MetaFun: Meta-Learning with Iterative Functional...	2019-12-05	Code
42	VAMPIRE	82.7	No	Uncertainty in Model-Agnostic Meta-Learning usin...	2019-07-27	Code
43	AM3-TADAM	82.58	No	Adaptive Cross-Modal Few-Shot Learning	2019-02-19	Code
44	SImPa	81.84	No	PAC-Bayes meta-learning with implicit task-speci...	2020-03-05	Code
45	Transductive CNAPS	81.8	No	Enhancing Few-Shot Image Classification with Unl...	2020-06-17	Code
46	MetaOptNet-SVM-trainval	81.75	No	Meta-Learning with Differentiable Convex Optimiz...	2019-04-07	Code
47	TapNet	80.26	No	TapNet: Neural Network Augmented with Task-Adapt...	2019-05-16	Code
48	MTUNet+WRN	80.05	No	Match Them Up: Visually Explainable Few-shot Ima...	2020-11-25	Code
49	Simple CNAPS	80	No	Improved Few-Shot Visual Classification	2019-12-07	Code
50	Deep Comparison Network	79.62	No	RelationNet2: Deep Comparison Columns for Few-Sh...	2018-11-17	Code
51	MTUNet+ResNet-18	77.82	No	Match Them Up: Visually Explainable Few-shot Ima...	2020-11-25	Code
52	HMS	75.85	No	Revisiting Unsupervised Meta-Learning via the Ch...	2020-11-30	Code
53	GAP	74.9	No	Meta-Learning with a Geometry-Adaptive Precondit...	2023-04-04	Code
54	Approximate GAP	74.41	No	Meta-Learning with a Geometry-Adaptive Precondit...	2023-04-04	Code
55	LF2CS	66.59	No	-	-	Code
56	SAMPTransfer (Conv4)	65.19	No	Self-Attention Message Passing for Contrastive F...	2022-10-12	Code
57	PL-CFE	64.31	No	Rethinking Clustering-Based Pseudo-Labeling for ...	2022-09-27	Code
58	CPNWCP	62.96	No	-	-	Code
59	ArL	58.56	No	Rethinking Class Relations: Absolute-relative Su...	2020-01-12	Code
60	U-MlSo	57.53	No	Multi-level Second-order Few-shot Learning	2022-01-15	Code
61	ULDA	56.78	No	Diversity Helps: Unsupervised Few-shot Learning ...	2020-04-13	Code

#1CAML [Laion-2b]SOTA
98.8
Accuracy· Extra Data· 2023-10-17
Context-Aware Meta-Learning Code
#2TRIDENTSOTA
96.57
Accuracy· 2022-08-22
Transductive Decoupled Variational Inference for Few-Shot Classification Code
#3HCTransformersSOTA
91.72
Accuracy· 2022-03-17
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Code
#4PEMnE-BMS*SOTA
91.09
Accuracy· 2021-10-18
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Code
#5PT+MAPSOTA
90.44
Accuracy· 2020-06-06
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Code
#6BAVARDAGE
90.41
Accuracy· 2022-09-18
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
#7FewTURE
89.96
Accuracy· 2022-06-15
Rethinking Generalization in Few-Shot Classification Code
#8TIM-GD
89.8
Accuracy· 2020-08-25
Transductive Information Maximization For Few-Shot Learning Code
#9EASY 3xResNet12 (transductive)
89.76
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#10MetaQDA
89.56
Accuracy· 2021-01-08
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Code
#11ASY ResNet12 (transductive)
89.26
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#12ICISOTA
89
Accuracy· 2020-03-26
Instance Credibility Inference for Few-Shot Learning Code
#13S2M2RSOTA
88.59
Accuracy· 2019-07-28
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Code
#14EPNet
88.36
Accuracy· 2020-03-09
Embedding Propagation: Smoother Manifold for Few-Shot Classification Code
#15EASY 3xResNet12 (inductive)
88.33
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#16LaplacianShot
87.93
Accuracy· 2020-06-28
Laplacian Regularized Few-Shot Learning Code
#17ASY ResNet12 (inductive)
87.86
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#18BECLR
87.86
Accuracy· 2024-02-04
BECLR: Batch Enhanced Contrastive Few-Shot Learning Code
#19Transductive CNAPS + FETI
87.7
Accuracy· Extra Data· 2020-06-17
Enhancing Few-Shot Image Classification with Unlabelled Examples Code
#20BD-CSPN + ESFR (WRN)
87.61
Accuracy· 2021-06-22
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Code
#21ESPT
87.49
Accuracy· 2023-04-26
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Code
#22Invariance-Equivariance
87.08
Accuracy· 2021-03-01
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Code
#23pseudo-shots
86.82
Accuracy· 2020-12-13
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks Code
#24ACC + Amphibian
86.75
Accuracy· 2019-11-25
Generalized Adaptation for Few-Shot Learning
#25SKD
86.66
Accuracy· 2020-06-17
Self-supervised Knowledge Distillation for Few-shot Learning Code
#26SSFormers
86.61
Accuracy· 2021-09-27
Sparse Spatial Transformers for Few-Shot Learning Code
#27UniSiam
86.51
Accuracy· 2022-07-19
Self-Supervision Can Be a Good Few-Shot Learner Code
#28UniSiam
86.51
Accuracy· 2022-07-19
Self-Supervision Can Be a Good Few-Shot Learner Code
#29OSLO
86.35
Accuracy· 2023-01-20
Open-Set Likelihood Maximization for Few-Shot Learning Code
#30BD-CSPN + ESFR (ResNet-18)
86.34
Accuracy· 2021-06-22
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Code
#31Simple CNAPS + FETI
86
Accuracy· Extra Data· 2019-12-07
Improved Few-Shot Visual Classification Code
#32DAPNA
85.82
Accuracy· 2020-02-06
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
#33DiffKendall (Meta-Baseline, ResNet-12)
85.31
Accuracy· 2023-07-28
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Code
#34RENet
85.28
Accuracy· 2021-08-22
Relational Embedding for Few-Shot Classification Code
#35LSTSOTA
85.2
Accuracy· 2019-06-03
Learning to Self-Train for Semi-Supervised Few-Shot Classification Code
#36UBC-FSL
84.3
Accuracy· 2020-10-06
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
#37PDA-Net
84.2
Accuracy· 2021-05-25
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
#38GML (ResNet-12)
84.04
Accuracy· 2025-01-24
Geometric Mean Improves Loss For Few-Shot Learning
#39Multi-Task Learning
83.69
Accuracy· 2021-06-16
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Code
#40Adaptive Subspace Network
83.32
Accuracy
No paperCode
#41MetaFun-Kernel
83.28
Accuracy· 2019-12-05
MetaFun: Meta-Learning with Iterative Functional Updates Code
#42VAMPIRE
82.7
Accuracy· 2019-07-27
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Code
#43AM3-TADAMSOTA
82.58
Accuracy· 2019-02-19
Adaptive Cross-Modal Few-Shot Learning Code
#44SImPa
81.84
Accuracy· 2020-03-05
PAC-Bayes meta-learning with implicit task-specific posteriors Code
#45Transductive CNAPS
81.8
Accuracy· 2020-06-17
Enhancing Few-Shot Image Classification with Unlabelled Examples Code
#46MetaOptNet-SVM-trainval
81.75
Accuracy· 2019-04-07
Meta-Learning with Differentiable Convex Optimization Code
#47TapNet
80.26
Accuracy· 2019-05-16
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning Code
#48MTUNet+WRN
80.05
Accuracy· 2020-11-25
Match Them Up: Visually Explainable Few-shot Image Classification Code
#49Simple CNAPS
80
Accuracy· 2019-12-07
Improved Few-Shot Visual Classification Code
#50Deep Comparison NetworkSOTA
79.62
Accuracy· 2018-11-17
RelationNet2: Deep Comparison Columns for Few-Shot Learning Code
#51MTUNet+ResNet-18
77.82
Accuracy· 2020-11-25
Match Them Up: Visually Explainable Few-shot Image Classification Code
#52HMS
75.85
Accuracy· 2020-11-30
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Code
#53GAP
74.9
Accuracy· 2023-04-04
Meta-Learning with a Geometry-Adaptive Preconditioner Code
#54Approximate GAP
74.41
Accuracy· 2023-04-04
Meta-Learning with a Geometry-Adaptive Preconditioner Code
#55LF2CS
66.59
Accuracy
No paperCode
#56SAMPTransfer (Conv4)
65.19
Accuracy· 2022-10-12
Self-Attention Message Passing for Contrastive Few-Shot Learning Code
#57PL-CFE
64.31
Accuracy· 2022-09-27
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Code
#58CPNWCP
62.96
Accuracy
No paperCode
#59ArL
58.56
Accuracy· 2020-01-12
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning Code
#60U-MlSo
57.53
Accuracy· 2022-01-15
Multi-level Second-order Few-shot Learning Code
#61ULDA
56.78
Accuracy· 2020-04-13
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation Code