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

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	CAML [Laion-2b]	96.8	Yes	Context-Aware Meta-Learning	2023-10-17	Code
2	TRIDENT	86.97	No	Transductive Decoupled Variational Inference for...	2022-08-22	Code
3	PEMnE-BMS*	86.07	No	Squeezing Backbone Feature Distributions to the ...	2021-10-18	Code
4	PT+MAP	85.41	No	Leveraging the Feature Distribution in Transfer-...	2020-06-06	Code
5	BAVARDAGE	85.2	No	Adaptive Dimension Reduction and Variational Inf...	2022-09-18	-
6	EASY 3xResNet12 (transductive)	84.29	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
7	ICI	84.01	No	Instance Credibility Inference for Few-Shot Lear...	2020-03-26	Code
8	ASY ResNet12 (transductive)	83.98	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
9	TIM-GD	82.1	No	Transductive Information Maximization For Few-Sh...	2020-08-25	Code
10	BD-CSPN + ESFR (WRN)	81.77	No	Unsupervised Embedding Adaptation via Early-Stag...	2021-06-22	Code
11	BECLR	81.69	No	BECLR: Batch Enhanced Contrastive Few-Shot Learn...	2024-02-04	Code
12	LaplacianShot	80.3	No	Laplacian Regularized Few-Shot Learning	2020-06-28	Code
13	BD-CSPN + ESFR (ResNet-18)	80.13	No	Unsupervised Embedding Adaptation via Early-Stag...	2021-06-22	Code
14	HCTransformers	79.67	No	Attribute Surrogates Learning and Spectral Token...	2022-03-17	Code
15	EPNet	78.5	No	Embedding Propagation: Smoother Manifold for Few...	2020-03-09	Code
16	LST	77.7	No	Learning to Self-Train for Semi-Supervised Few-S...	2019-06-03	Code
17	OSLO	76.64	No	Open-Set Likelihood Maximization for Few-Shot Le...	2023-01-20	Code
18	pseudo-shots	76.55	No	Extended Few-Shot Learning: Exploiting Existing ...	2020-12-13	Code
19	FewTURE	76.32	No	Rethinking Generalization in Few-Shot Classifica...	2022-06-15	Code
20	EASY 3xResNet12 (inductive)	74.71	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
21	MetaQDA	74.33	No	Shallow Bayesian Meta Learning for Real-World Fe...	2021-01-08	Code
22	ASY ResNet12 (ours)	74.31	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
23	Transductive CNAPS + FETI	73.8	Yes	Enhancing Few-Shot Image Classification with Unl...	2020-06-17	Code
24	S2M2R	73.71	No	Charting the Right Manifold: Manifold Mixup for ...	2019-07-28	Code
25	ESPT	72.68	No	ESPT: A Self-Supervised Episodic Spatial Pretext...	2023-04-26	Code
26	SSFormers	72.52	No	Sparse Spatial Transformers for Few-Shot Learning	2021-09-27	Code
27	Invariance-Equivariance	72.21	No	Exploring Complementary Strengths of Invariant a...	2021-03-01	Code
28	SKD	72.03	No	Self-supervised Knowledge Distillation for Few-s...	2020-06-17	Code
29	RENet	71.61	No	Relational Embedding for Few-Shot Classification	2021-08-22	Code
30	Simple CNAPS + FETI	71.4	Yes	Improved Few-Shot Visual Classification	2019-12-07	Code
31	SImPa	70.82	No	PAC-Bayes meta-learning with implicit task-speci...	2020-03-05	Code
32	DiffKendall (Meta-Baseline, ResNet-12)	70.76	No	DiffKendall: A Novel Approach for Few-Shot Learn...	2023-07-28	Code
33	VAMPIRE	69.87	No	Uncertainty in Model-Agnostic Meta-Learning usin...	2019-07-27	Code
34	GML (ResNet-12)	69.61	No	Geometric Mean Improves Loss For Few-Shot Learning	2025-01-24	-
35	UniSiam	69.6	No	Self-Supervision Can Be a Good Few-Shot Learner	2022-07-19	Code
36	UniSiam	69.6	No	Self-Supervision Can Be a Good Few-Shot Learner	2022-07-19	Code
37	DAPNA	69.14	No	Few-Shot Learning as Domain Adaptation: Algorith...	2020-02-06	-
38	AM3-TADAM	69.08	No	Adaptive Cross-Modal Few-Shot Learning	2019-02-19	Code
39	PDA-Net	69.01	No	Few-Shot Learning with Part Discovery and Augmen...	2021-05-25	-
40	Deep Comparison Network	68.83	No	RelationNet2: Deep Comparison Columns for Few-Sh...	2018-11-17	Code
41	ACC + Amphibian	68.77	No	Generalized Adaptation for Few-Shot Learning	2019-11-25	-
42	Adaptive Subspace Network	68.44	No	-	-	Code
43	UBC-FSL	68	No	Shot in the Dark: Few-Shot Learning with No Base...	2020-10-06	-
44	MetaFun-Attention	67.72	No	MetaFun: Meta-Learning with Iterative Functional...	2019-12-05	Code
45	Multi-Task Learning	67.11	No	Bridging Multi-Task Learning and Meta-Learning: ...	2021-06-16	Code
46	Transductive CNAPS	65.9	No	Enhancing Few-Shot Image Classification with Unl...	2020-06-17	Code
47	MetaOptNet-SVM-trainval	65.81	No	Meta-Learning with Differentiable Convex Optimiz...	2019-04-07	Code
48	TapNet	63.08	No	TapNet: Neural Network Augmented with Task-Adapt...	2019-05-16	Code
49	Simple CNAPS	63	No	Improved Few-Shot Visual Classification	2019-12-07	Code
50	MTUNet+WRN	62.42	No	Match Them Up: Visually Explainable Few-shot Ima...	2020-11-25	Code
51	MTUNet+ResNet-18	61.27	No	Match Them Up: Visually Explainable Few-shot Ima...	2020-11-25	Code
52	HMS	58.42	No	Revisiting Unsupervised Meta-Learning via the Ch...	2020-11-30	Code
53	GAP	57.6	No	Meta-Learning with a Geometry-Adaptive Precondit...	2023-04-04	Code
54	Approximate GAP	56.86	No	Meta-Learning with a Geometry-Adaptive Precondit...	2023-04-04	Code
55	LF2CS	53.16	No	-	-	Code
56	PL-CFE	49.51	No	Rethinking Clustering-Based Pseudo-Labeling for ...	2022-09-27	Code
57	SAMPTransfer (Conv4)	49.1	No	Self-Attention Message Passing for Contrastive F...	2022-10-12	Code
58	CPNWCP	45	No	-	-	Code
59	ArL	43.68	No	Rethinking Class Relations: Absolute-relative Su...	2020-01-12	Code
60	U-MlSo	43.01	No	Multi-level Second-order Few-shot Learning	2022-01-15	Code
61	ULDA	41.77	No	Diversity Helps: Unsupervised Few-shot Learning ...	2020-04-13	Code

#1CAML [Laion-2b]SOTA
96.8
Accuracy· Extra Data· 2023-10-17
Context-Aware Meta-Learning Code
#2TRIDENTSOTA
86.97
Accuracy· 2022-08-22
Transductive Decoupled Variational Inference for Few-Shot Classification Code
#3PEMnE-BMS*SOTA
86.07
Accuracy· 2021-10-18
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Code
#4PT+MAPSOTA
85.41
Accuracy· 2020-06-06
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Code
#5BAVARDAGE
85.2
Accuracy· 2022-09-18
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
#6EASY 3xResNet12 (transductive)
84.29
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#7ICISOTA
84.01
Accuracy· 2020-03-26
Instance Credibility Inference for Few-Shot Learning Code
#8ASY ResNet12 (transductive)
83.98
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#9TIM-GD
82.1
Accuracy· 2020-08-25
Transductive Information Maximization For Few-Shot Learning Code
#10BD-CSPN + ESFR (WRN)
81.77
Accuracy· 2021-06-22
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Code
#11BECLR
81.69
Accuracy· 2024-02-04
BECLR: Batch Enhanced Contrastive Few-Shot Learning Code
#12LaplacianShot
80.3
Accuracy· 2020-06-28
Laplacian Regularized Few-Shot Learning Code
#13BD-CSPN + ESFR (ResNet-18)
80.13
Accuracy· 2021-06-22
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Code
#14HCTransformers
79.67
Accuracy· 2022-03-17
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Code
#15EPNetSOTA
78.5
Accuracy· 2020-03-09
Embedding Propagation: Smoother Manifold for Few-Shot Classification Code
#16LSTSOTA
77.7
Accuracy· 2019-06-03
Learning to Self-Train for Semi-Supervised Few-Shot Classification Code
#17OSLO
76.64
Accuracy· 2023-01-20
Open-Set Likelihood Maximization for Few-Shot Learning Code
#18pseudo-shots
76.55
Accuracy· 2020-12-13
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks Code
#19FewTURE
76.32
Accuracy· 2022-06-15
Rethinking Generalization in Few-Shot Classification Code
#20EASY 3xResNet12 (inductive)
74.71
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#21MetaQDA
74.33
Accuracy· 2021-01-08
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Code
#22ASY ResNet12 (ours)
74.31
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#23Transductive CNAPS + FETI
73.8
Accuracy· Extra Data· 2020-06-17
Enhancing Few-Shot Image Classification with Unlabelled Examples Code
#24S2M2R
73.71
Accuracy· 2019-07-28
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Code
#25ESPT
72.68
Accuracy· 2023-04-26
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Code
#26SSFormers
72.52
Accuracy· 2021-09-27
Sparse Spatial Transformers for Few-Shot Learning Code
#27Invariance-Equivariance
72.21
Accuracy· 2021-03-01
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Code
#28SKD
72.03
Accuracy· 2020-06-17
Self-supervised Knowledge Distillation for Few-shot Learning Code
#29RENet
71.61
Accuracy· 2021-08-22
Relational Embedding for Few-Shot Classification Code
#30Simple CNAPS + FETI
71.4
Accuracy· Extra Data· 2019-12-07
Improved Few-Shot Visual Classification Code
#31SImPa
70.82
Accuracy· 2020-03-05
PAC-Bayes meta-learning with implicit task-specific posteriors Code
#32DiffKendall (Meta-Baseline, ResNet-12)
70.76
Accuracy· 2023-07-28
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Code
#33VAMPIRE
69.87
Accuracy· 2019-07-27
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Code
#34GML (ResNet-12)
69.61
Accuracy· 2025-01-24
Geometric Mean Improves Loss For Few-Shot Learning
#35UniSiam
69.6
Accuracy· 2022-07-19
Self-Supervision Can Be a Good Few-Shot Learner Code
#36UniSiam
69.6
Accuracy· 2022-07-19
Self-Supervision Can Be a Good Few-Shot Learner Code
#37DAPNA
69.14
Accuracy· 2020-02-06
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
#38AM3-TADAMSOTA
69.08
Accuracy· 2019-02-19
Adaptive Cross-Modal Few-Shot Learning Code
#39PDA-Net
69.01
Accuracy· 2021-05-25
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
#40Deep Comparison NetworkSOTA
68.83
Accuracy· 2018-11-17
RelationNet2: Deep Comparison Columns for Few-Shot Learning Code
#41ACC + Amphibian
68.77
Accuracy· 2019-11-25
Generalized Adaptation for Few-Shot Learning
#42Adaptive Subspace Network
68.44
Accuracy
No paperCode
#43UBC-FSL
68
Accuracy· 2020-10-06
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
#44MetaFun-Attention
67.72
Accuracy· 2019-12-05
MetaFun: Meta-Learning with Iterative Functional Updates Code
#45Multi-Task Learning
67.11
Accuracy· 2021-06-16
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Code
#46Transductive CNAPS
65.9
Accuracy· 2020-06-17
Enhancing Few-Shot Image Classification with Unlabelled Examples Code
#47MetaOptNet-SVM-trainval
65.81
Accuracy· 2019-04-07
Meta-Learning with Differentiable Convex Optimization Code
#48TapNet
63.08
Accuracy· 2019-05-16
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning Code
#49Simple CNAPS
63
Accuracy· 2019-12-07
Improved Few-Shot Visual Classification Code
#50MTUNet+WRN
62.42
Accuracy· 2020-11-25
Match Them Up: Visually Explainable Few-shot Image Classification Code
#51MTUNet+ResNet-18
61.27
Accuracy· 2020-11-25
Match Them Up: Visually Explainable Few-shot Image Classification Code
#52HMS
58.42
Accuracy· 2020-11-30
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Code
#53GAP
57.6
Accuracy· 2023-04-04
Meta-Learning with a Geometry-Adaptive Preconditioner Code
#54Approximate GAP
56.86
Accuracy· 2023-04-04
Meta-Learning with a Geometry-Adaptive Preconditioner Code
#55LF2CS
53.16
Accuracy
No paperCode
#56PL-CFE
49.51
Accuracy· 2022-09-27
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Code
#57SAMPTransfer (Conv4)
49.1
Accuracy· 2022-10-12
Self-Attention Message Passing for Contrastive Few-Shot Learning Code
#58CPNWCP
45
Accuracy
No paperCode
#59ArL
43.68
Accuracy· 2020-01-12
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning Code
#60U-MlSo
43.01
Accuracy· 2022-01-15
Multi-level Second-order Few-shot Learning Code
#61ULDA
41.77
Accuracy· 2020-04-13
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation Code