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

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	SgVA-CLIP	98.72	No	SgVA-CLIP: Semantic-guided Visual Adapting of Vi...	2022-11-28	Code
2	CAML [Laion-2b]	98.6	Yes	Context-Aware Meta-Learning	2023-10-17	Code
3	P>M>F (P=DINO-ViT-base, M=ProtoNet)	98.4	Yes	Pushing the Limits of Simple Pipelines for Few-S...	2022-04-15	Code
4	TRIDENT	95.95	No	Transductive Decoupled Variational Inference for...	2022-08-22	Code
5	BAVARDAGE	91.65	No	Adaptive Dimension Reduction and Variational Inf...	2022-09-18	-
6	PEMnE-BMS*(transductive)	91.53	No	Squeezing Backbone Feature Distributions to the ...	2021-10-18	Code
7	Transductive CNAPS + FETI	91.5	Yes	Enhancing Few-Shot Image Classification with Unl...	2020-06-17	Code
8	PT+MAP+SF+SOT (transductive)	91.34	No	The Self-Optimal-Transport Feature Transform	2022-04-06	Code
9	PT+MAP+SF+BPA (transductive)	91.34	No	The Balanced-Pairwise-Affinities Feature Transform	2024-06-25	Code
10	AmdimNet	90.98	Yes	Self-Supervised Learning For Few-Shot Image Clas...	2019-11-14	Code
11	Simple CNAPS + FETI	90.3	Yes	Improved Few-Shot Visual Classification	2019-12-07	Code
12	HCTransformers	89.19	No	Attribute Surrogates Learning and Spectral Token...	2022-03-17	Code
13	Illumination Augmentation	89.14	No	Sill-Net: Feature Augmentation with Separated Il...	2021-02-06	Code
14	EASY 3xResNet12 (transductive)	89.14	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
15	PT+MAP	88.82	No	Leveraging the Feature Distribution in Transfer-...	2020-06-06	Code
16	EASY 2xResNet12 1/√2 (transductive)	88.57	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
17	EPNet + SSL	88.05	Yes	Embedding Propagation: Smoother Manifold for Few...	2020-03-09	Code
18	BECLR	87.82	No	BECLR: Batch Enhanced Contrastive Few-Shot Learn...	2024-02-04	Code
19	EASY 3xResNet12 (inductive)	87.15	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
20	CPEA	87.06	No	-	-	Code
21	SemFew-Trans	86.49	No	Simple Semantic-Aided Few-Shot Learning	2023-11-30	Code
22	FewTURE	86.38	No	Rethinking Generalization in Few-Shot Classifica...	2022-06-15	Code
23	EASY 2xResNet12 1/√2 (inductive)	86.28	No	EASY: Ensemble Augmented-Shot Y-shaped Learning:...	2022-01-24	Code
24	Meta-DM+UniSiam	85.29	No	Meta-DM: Applications of Diffusion Models on Few...	2023-05-14	-
25	COSOC (inductive)	85.16	No	Rectifying the Shortcut Learning of Background f...	2021-07-16	Code
26	Invariance-Equivariance	84.78	No	Exploring Complementary Strengths of Invariant a...	2021-03-01	Code
27	LaplacianShot	84.72	No	Laplacian Regularized Few-Shot Learning	2020-06-28	Code
28	PEMbE-NCM (inductive)	84.67	No	Squeezing Backbone Feature Distributions to the ...	2021-10-18	Code
29	MSENet	84.42	No	Enhancing Few-Shot Image Classification through ...	2024-09-12	Code
30	BD-CSPN + ESFR (WRN)	84.36	No	Unsupervised Embedding Adaptation via Early-Stag...	2021-06-22	Code
31	EPNet	84.34	No	Embedding Propagation: Smoother Manifold for Few...	2020-03-09	Code
32	MetaQDA	84.28	No	Shallow Bayesian Meta Learning for Real-World Fe...	2021-01-08	Code
33	PrototypeCompletion	84.18	No	Prototype Completion for Few-Shot Learning	2021-08-11	Code
34	ESPT	84.11	No	ESPT: A Self-Supervised Episodic Spatial Pretext...	2023-04-26	Code
35	DAPNA	84.07	Yes	Few-Shot Learning as Domain Adaptation: Algorith...	2020-02-06	-
36	SKD	83.54	No	Self-supervised Knowledge Distillation for Few-s...	2020-06-17	Code
37	UniSiam	83.4	No	Self-Supervision Can Be a Good Few-Shot Learner	2022-07-19	Code
38	OSLO	83.4	No	Open-Set Likelihood Maximization for Few-Shot Le...	2023-01-20	Code
39	UniSiam	83.4	No	Self-Supervision Can Be a Good Few-Shot Learner	2022-07-19	Code
40	S2M2R	83.18	No	Charting the Right Manifold: Manifold Mixup for ...	2019-07-28	Code
41	PDA-Net	83.11	No	Few-Shot Learning with Part Discovery and Augmen...	2021-05-25	-
42	SSFormers	82.75	No	Sparse Spatial Transformers for Few-Shot Learning	2021-09-27	Code
43	RENet	82.58	No	Relational Embedding for Few-Shot Classification	2021-08-22	Code
44	pseudo-shots	82.51	No	Extended Few-Shot Learning: Exploiting Existing ...	2020-12-13	Code
45	BD-CSPN + ESFR (ResNet-18)	82.32	No	Unsupervised Embedding Adaptation via Early-Stag...	2021-06-22	Code
46	WRN + Self-Organizing Map	82.2	No	GPU-based Self-Organizing Maps for Post-Labeled ...	2020-09-04	Code
47	MetaOptNet-SVM+Task Aug	82.13	No	Task Augmentation by Rotating for Meta-Learning	2020-02-08	Code
48	R2-D2+Task Aug	81.96	No	Task Augmentation by Rotating for Meta-Learning	2020-02-08	Code
49	Adaptive Subspace Network	81.65	No	-	-	Code
50	SimpleShot (CL2N-DenseNet)	81.5	No	SimpleShot: Revisiting Nearest-Neighbor Classifi...	2019-11-12	Code
51	GML (ResNet-12)	81.13	No	Geometric Mean Improves Loss For Few-Shot Learning	2025-01-24	-
52	MetaFun-Attention	80.82	No	MetaFun: Meta-Learning with Iterative Functional...	2019-12-05	Code
53	DiffKendall (Meta-Baseline, ResNet-12)	80.79	No	DiffKendall: A Novel Approach for Few-Shot Learn...	2023-07-28	Code
54	ACC + Amphibian	80.75	No	Generalized Adaptation for Few-Shot Learning	2019-11-25	-
55	MergedNet-Max	80.4	No	-	-	Code
56	MCRNet-SVM	80.34	No	Complementing Representation Deficiency in Few-s...	2020-07-21	Code
57	ICI	80.11	No	Instance Credibility Inference for Few-Shot Lear...	2020-03-26	Code
58	MetaOptNet-SVM-trainval	80	No	Meta-Learning with Differentiable Convex Optimiz...	2019-04-07	Code
59	ConstellationNets	79.95	No	-	-	Code
60	TRAML	79.54	No	Boosting Few-Shot Learning With Adaptive Margin ...	2020-05-28	-
61	SIB	79.2	No	Empirical Bayes Transductive Meta-Learning with ...	2020-04-27	Code
62	Deep Laplacian Eigenmaps	78.79	No	Unsupervised Few-shot Learning via Deep Laplacia...	2022-10-07	-
63	LST	78.7	No	Learning to Self-Train for Semi-Supervised Few-S...	2019-06-03	Code
64	feat+ (ProtoNet-ResNet)	78.38	No	Few-Shot Learning via Embedding Adaptation with ...	2018-12-10	Code
65	MCRNet-RR	78.16	No	Complementing Representation Deficiency in Few-s...	2020-07-21	Code
66	AM3-TADAM	78.1	No	Adaptive Cross-Modal Few-Shot Learning	2019-02-19	Code
67	TMDlayer + Transduction	77.78	No	Neural TMDlayer: Modeling Instantaneous flow of ...	2021-08-19	Code
68	Multi-Task Learning	77.72	No	Bridging Multi-Task Learning and Meta-Learning: ...	2021-06-16	Code
69	Self-Critique and Adapt + High-End MAML++	77.64	No	Learning to learn via Self-Critique	2019-05-24	Code
70	UBC-FSL	77.2	No	Shot in the Dark: Few-Shot Learning with No Base...	2020-10-06	-
71	TADAM	76.7	No	TADAM: Task dependent adaptive metric for improv...	2018-05-23	Code
72	EGNN + Transduction	76.37	No	Edge-labeling Graph Neural Network for Few-shot ...	2019-05-04	Code
73	TapNet	76.36	No	TapNet: Neural Network Augmented with Task-Adapt...	2019-05-16	Code
74	Deep Comparison Network	75.84	No	RelationNet2: Deep Comparison Columns for Few-Sh...	2018-11-17	Code
75	HMS	75.77	No	Revisiting Unsupervised Meta-Learning via the Ch...	2020-11-30	Code
76	MTL	75.5	No	Meta-Transfer Learning for Few-Shot Learning	2018-12-06	Code
77	RCN - ResNet12	75.19	No	Region Comparison Network for Interpretable Few-...	2020-09-08	Code
78	IDeMe-Net	74.63	No	Image Deformation Meta-Networks for One-Shot Lea...	2019-05-28	Code
79	TrainProto	73.94	No	Trainable Class Prototypes for Few-Shot Learning	2021-06-21	-
80	Category-agnostic mapping WRN	73.74	No	Few-Shot Image Recognition by Predicting Paramet...	2017-06-12	Code
81	CPNWCP	73.21	No	-	-	Code
82	Transductive CNAPS	73.1	No	Enhancing Few-Shot Image Classification with Unl...	2020-06-17	Code
83	Cosine similarity function + C64F feature extractor	72.81	No	Dynamic Few-Shot Visual Learning without Forgett...	2018-04-25	Code
84	MATANet	72.67	No	Multi-scale Adaptive Task Attention Network for ...	2020-11-30	-
85	SAMPTransfer (Conv4)	72.52	No	Self-Attention Message Passing for Contrastive F...	2022-10-12	Code
86	adaResNet (DF)	71.94	No	Rapid Adaptation with Conditionally Shifted Neur...	2017-12-28	-
87	MTUNet+WRN	71.93	No	Match Them Up: Visually Explainable Few-shot Ima...	2020-11-25	Code
88	RCN - Conv4-64	71.63	No	Region Comparison Network for Interpretable Few-...	2020-09-08	Code
89	GAP	71.55	No	Meta-Learning with a Geometry-Adaptive Precondit...	2023-04-04	Code
90	DN4 (k=3)	71.02	No	Revisiting Local Descriptor based Image-to-Class...	2019-03-28	Code
91	Simple CNAPS	70.8	No	Improved Few-Shot Visual Classification	2019-12-07	Code
92	Approximate GAP	70.75	No	Meta-Learning with a Geometry-Adaptive Precondit...	2023-04-04	Code
93	MC2+	70.33	No	Meta-Curvature	2019-02-09	Code
94	MTUNet+ResNet-18	70.22	No	Match Them Up: Visually Explainable Few-shot Ima...	2020-11-25	Code
95	AmdimNet	70.14	No	Self-Supervised Learning For Few-Shot Image Clas...	2019-11-14	Code
96	CSSL	68.91	Yes	Few-Shot Image Classification via Contrastive Se...	2020-08-23	-
97	Prototypical Networks	68.2	No	Prototypical Networks for Few-shot Learning	2017-03-15	Code
98	VNE (BOIL)	67.52	No	VNE: An Effective Method for Improving Deep Repr...	2023-04-04	Code
99	LF2CS	67.36	No	-	-	Code
100	MAML++	67.15	No	How to train your MAML	2018-10-22	Code
101	Hyperbolic ProtoNet	66.27	No	Hyperbolic Image Embeddings	2019-04-03	Code
102	Reptile + Transduction	65.99	No	On First-Order Meta-Learning Algorithms	2018-03-08	Code
103	C^3LR	64.81	No	Self-Supervised Class-Cognizant Few-Shot Classif...	2022-02-15	Code
104	VAMPIRE	64.31	No	Uncertainty in Model-Agnostic Meta-Learning usin...	2019-07-27	Code
105	DKT + BNCosSim	64	No	Bayesian Meta-Learning for the Few-Shot Setting ...	2019-10-11	Code
106	SImPa	63.87	No	PAC-Bayes meta-learning with implicit task-speci...	2020-03-05	Code
107	PsCo	63.26	No	Unsupervised Meta-Learning via Few-shot Pseudo-s...	2023-03-02	Code
108	MAML	63.1	No	Model-Agnostic Meta-Learning for Fast Adaptation...	2017-03-09	Code
109	ProtoTransfer	62.99	No	Self-Supervised Prototypical Transfer Learning f...	2020-06-19	Code
110	PL-CFE	62.91	No	Rethinking Clustering-Based Pseudo-Labeling for ...	2022-09-27	Code
111	Matching Nets (Cosine Matching Fn)	60	No	Matching Networks for One Shot Learning	2016-06-13	Code
112	CMVAE	58.95	No	CMVAE: Causal Meta VAE for Unsupervised Meta-Lea...	2023-02-20	Code
113	Meta-SVEBM	58.03	No	-	-	-
114	ArL	57.01	No	Rethinking Class Relations: Absolute-relative Su...	2020-01-12	Code
115	InCo	56.96	No	-	-	-
116	ULDA	56.18	No	Diversity Helps: Unsupervised Few-shot Learning ...	2020-04-13	Code
117	Meta-GMVAE	55.73	No	-	-	Code
118	U-MlSo+PN	55.38	No	Multi-level Second-order Few-shot Learning	2022-01-15	Code
119	LASIUM	54.56	No	Unsupervised Meta-Learning through Latent-Space ...	2020-06-18	-
120	CACTU	53.97	No	Unsupervised Learning via Meta-Learning	2018-10-04	-
121	UMTRA	50.73	No	Unsupervised Meta-Learning For Few-Shot Image Cl...	2018-11-28	-
122	AAL	49.18	No	Assume, Augment and Learn: Unsupervised Few-Shot...	2019-02-26	-

#1SgVA-CLIPSOTA
98.72
Accuracy· 2022-11-28
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification Code
#2CAML [Laion-2b]
98.6
Accuracy· Extra Data· 2023-10-17
Context-Aware Meta-Learning Code
#3P>M>F (P=DINO-ViT-base, M=ProtoNet)SOTA
98.4
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
#4TRIDENT
95.95
Accuracy· 2022-08-22
Transductive Decoupled Variational Inference for Few-Shot Classification Code
#5BAVARDAGE
91.65
Accuracy· 2022-09-18
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
#6PEMnE-BMS*(transductive)SOTA
91.53
Accuracy· 2021-10-18
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Code
#7Transductive CNAPS + FETISOTA
91.5
Accuracy· Extra Data· 2020-06-17
Enhancing Few-Shot Image Classification with Unlabelled Examples Code
#8PT+MAP+SF+SOT (transductive)
91.34
Accuracy· 2022-04-06
The Self-Optimal-Transport Feature Transform Code
#9PT+MAP+SF+BPA (transductive)
91.34
Accuracy· 2024-06-25
The Balanced-Pairwise-Affinities Feature Transform Code
#10AmdimNetSOTA
90.98
Accuracy· Extra Data· 2019-11-14
Self-Supervised Learning For Few-Shot Image Classification Code
#11Simple CNAPS + FETI
90.3
Accuracy· Extra Data· 2019-12-07
Improved Few-Shot Visual Classification Code
#12HCTransformers
89.19
Accuracy· 2022-03-17
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Code
#13Illumination Augmentation
89.14
Accuracy· 2021-02-06
Sill-Net: Feature Augmentation with Separated Illumination Representation Code
#14EASY 3xResNet12 (transductive)
89.14
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#15PT+MAP
88.82
Accuracy· 2020-06-06
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Code
#16EASY 2xResNet12 1/√2 (transductive)
88.57
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#17EPNet + SSL
88.05
Accuracy· Extra Data· 2020-03-09
Embedding Propagation: Smoother Manifold for Few-Shot Classification Code
#18BECLR
87.82
Accuracy· 2024-02-04
BECLR: Batch Enhanced Contrastive Few-Shot Learning Code
#19EASY 3xResNet12 (inductive)
87.15
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#20CPEA
87.06
Accuracy
No paperCode
#21SemFew-Trans
86.49
Accuracy· 2023-11-30
Simple Semantic-Aided Few-Shot Learning Code
#22FewTURE
86.38
Accuracy· 2022-06-15
Rethinking Generalization in Few-Shot Classification Code
#23EASY 2xResNet12 1/√2 (inductive)
86.28
Accuracy· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Code
#24Meta-DM+UniSiam
85.29
Accuracy· 2023-05-14
Meta-DM: Applications of Diffusion Models on Few-Shot Learning
#25COSOC (inductive)
85.16
Accuracy· 2021-07-16
Rectifying the Shortcut Learning of Background for Few-Shot Learning Code
#26Invariance-Equivariance
84.78
Accuracy· 2021-03-01
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Code
#27LaplacianShot
84.72
Accuracy· 2020-06-28
Laplacian Regularized Few-Shot Learning Code
#28PEMbE-NCM (inductive)
84.67
Accuracy· 2021-10-18
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Code
#29MSENet
84.42
Accuracy· 2024-09-12
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Code
#30BD-CSPN + ESFR (WRN)
84.36
Accuracy· 2021-06-22
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Code
#31EPNet
84.34
Accuracy· 2020-03-09
Embedding Propagation: Smoother Manifold for Few-Shot Classification Code
#32MetaQDA
84.28
Accuracy· 2021-01-08
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Code
#33PrototypeCompletion
84.18
Accuracy· 2021-08-11
Prototype Completion for Few-Shot Learning Code
#34ESPT
84.11
Accuracy· 2023-04-26
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Code
#35DAPNA
84.07
Accuracy· Extra Data· 2020-02-06
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
#36SKD
83.54
Accuracy· 2020-06-17
Self-supervised Knowledge Distillation for Few-shot Learning Code
#37UniSiam
83.4
Accuracy· 2022-07-19
Self-Supervision Can Be a Good Few-Shot Learner Code
#38OSLO
83.4
Accuracy· 2023-01-20
Open-Set Likelihood Maximization for Few-Shot Learning Code
#39UniSiam
83.4
Accuracy· 2022-07-19
Self-Supervision Can Be a Good Few-Shot Learner Code
#40S2M2RSOTA
83.18
Accuracy· 2019-07-28
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Code
#41PDA-Net
83.11
Accuracy· 2021-05-25
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
#42SSFormers
82.75
Accuracy· 2021-09-27
Sparse Spatial Transformers for Few-Shot Learning Code
#43RENet
82.58
Accuracy· 2021-08-22
Relational Embedding for Few-Shot Classification Code
#44pseudo-shots
82.51
Accuracy· 2020-12-13
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks Code
#45BD-CSPN + ESFR (ResNet-18)
82.32
Accuracy· 2021-06-22
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Code
#46WRN + Self-Organizing Map
82.2
Accuracy· 2020-09-04
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning Code
#47MetaOptNet-SVM+Task Aug
82.13
Accuracy· 2020-02-08
Task Augmentation by Rotating for Meta-Learning Code
#48R2-D2+Task Aug
81.96
Accuracy· 2020-02-08
Task Augmentation by Rotating for Meta-Learning Code
#49Adaptive Subspace Network
81.65
Accuracy
No paperCode
#50SimpleShot (CL2N-DenseNet)
81.5
Accuracy· 2019-11-12
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Code
#51GML (ResNet-12)
81.13
Accuracy· 2025-01-24
Geometric Mean Improves Loss For Few-Shot Learning
#52MetaFun-Attention
80.82
Accuracy· 2019-12-05
MetaFun: Meta-Learning with Iterative Functional Updates Code
#53DiffKendall (Meta-Baseline, ResNet-12)
80.79
Accuracy· 2023-07-28
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Code
#54ACC + Amphibian
80.75
Accuracy· 2019-11-25
Generalized Adaptation for Few-Shot Learning
#55MergedNet-Max
80.4
Accuracy
No paperCode
#56MCRNet-SVM
80.34
Accuracy· 2020-07-21
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach Code
#57ICI
80.11
Accuracy· 2020-03-26
Instance Credibility Inference for Few-Shot Learning Code
#58MetaOptNet-SVM-trainvalSOTA
80
Accuracy· 2019-04-07
Meta-Learning with Differentiable Convex Optimization Code
#59ConstellationNets
79.95
Accuracy
No paperCode
#60TRAML
79.54
Accuracy· 2020-05-28
Boosting Few-Shot Learning With Adaptive Margin Loss
#61SIB
79.2
Accuracy· 2020-04-27
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients Code
#62Deep Laplacian Eigenmaps
78.79
Accuracy· 2022-10-07
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
#63LST
78.7
Accuracy· 2019-06-03
Learning to Self-Train for Semi-Supervised Few-Shot Classification Code
#64feat+ (ProtoNet-ResNet)SOTA
78.38
Accuracy· 2018-12-10
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Code
#65MCRNet-RR
78.16
Accuracy· 2020-07-21
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach Code
#66AM3-TADAM
78.1
Accuracy· 2019-02-19
Adaptive Cross-Modal Few-Shot Learning Code
#67TMDlayer + Transduction
77.78
Accuracy· 2021-08-19
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators Code
#68Multi-Task Learning
77.72
Accuracy· 2021-06-16
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Code
#69Self-Critique and Adapt + High-End MAML++
77.64
Accuracy· 2019-05-24
Learning to learn via Self-Critique Code
#70UBC-FSL
77.2
Accuracy· 2020-10-06
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
#71TADAMSOTA
76.7
Accuracy· 2018-05-23
TADAM: Task dependent adaptive metric for improved few-shot learning Code
#72EGNN + Transduction
76.37
Accuracy· 2019-05-04
Edge-labeling Graph Neural Network for Few-shot Learning Code
#73TapNet
76.36
Accuracy· 2019-05-16
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning Code
#74Deep Comparison Network
75.84
Accuracy· 2018-11-17
RelationNet2: Deep Comparison Columns for Few-Shot Learning Code
#75HMS
75.77
Accuracy· 2020-11-30
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Code
#76MTL
75.5
Accuracy· 2018-12-06
Meta-Transfer Learning for Few-Shot Learning Code
#77RCN - ResNet12
75.19
Accuracy· 2020-09-08
Region Comparison Network for Interpretable Few-shot Image Classification Code
#78IDeMe-Net
74.63
Accuracy· 2019-05-28
Image Deformation Meta-Networks for One-Shot Learning Code
#79TrainProto
73.94
Accuracy· 2021-06-21
Trainable Class Prototypes for Few-Shot Learning
#80Category-agnostic mapping WRNSOTA
73.74
Accuracy· 2017-06-12
Few-Shot Image Recognition by Predicting Parameters from Activations Code
#81CPNWCP
73.21
Accuracy
No paperCode
#82Transductive CNAPS
73.1
Accuracy· 2020-06-17
Enhancing Few-Shot Image Classification with Unlabelled Examples Code
#83Cosine similarity function + C64F feature extractor
72.81
Accuracy· 2018-04-25
Dynamic Few-Shot Visual Learning without Forgetting Code
#84MATANet
72.67
Accuracy· 2020-11-30
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
#85SAMPTransfer (Conv4)
72.52
Accuracy· 2022-10-12
Self-Attention Message Passing for Contrastive Few-Shot Learning Code
#86adaResNet (DF)
71.94
Accuracy· 2017-12-28
Rapid Adaptation with Conditionally Shifted Neurons
#87MTUNet+WRN
71.93
Accuracy· 2020-11-25
Match Them Up: Visually Explainable Few-shot Image Classification Code
#88RCN - Conv4-64
71.63
Accuracy· 2020-09-08
Region Comparison Network for Interpretable Few-shot Image Classification Code
#89GAP
71.55
Accuracy· 2023-04-04
Meta-Learning with a Geometry-Adaptive Preconditioner Code
#90DN4 (k=3)
71.02
Accuracy· 2019-03-28
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning Code
#91Simple CNAPS
70.8
Accuracy· 2019-12-07
Improved Few-Shot Visual Classification Code
#92Approximate GAP
70.75
Accuracy· 2023-04-04
Meta-Learning with a Geometry-Adaptive Preconditioner Code
#93MC2+
70.33
Accuracy· 2019-02-09
Meta-Curvature Code
#94MTUNet+ResNet-18
70.22
Accuracy· 2020-11-25
Match Them Up: Visually Explainable Few-shot Image Classification Code
#95AmdimNet
70.14
Accuracy· 2019-11-14
Self-Supervised Learning For Few-Shot Image Classification Code
#96CSSL
68.91
Accuracy· Extra Data· 2020-08-23
Few-Shot Image Classification via Contrastive Self-Supervised Learning
#97Prototypical NetworksSOTA
68.2
Accuracy· 2017-03-15
Prototypical Networks for Few-shot Learning Code
#98VNE (BOIL)
67.52
Accuracy· 2023-04-04
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Code
#99LF2CS
67.36
Accuracy
No paperCode
#100MAML++
67.15
Accuracy· 2018-10-22
How to train your MAML Code
#101Hyperbolic ProtoNet
66.27
Accuracy· 2019-04-03
Hyperbolic Image Embeddings Code
#102Reptile + Transduction
65.99
Accuracy· 2018-03-08
On First-Order Meta-Learning Algorithms Code
#103C^3LR
64.81
Accuracy· 2022-02-15
Self-Supervised Class-Cognizant Few-Shot Classification Code
#104VAMPIRE
64.31
Accuracy· 2019-07-27
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Code
#105DKT + BNCosSim
64
Accuracy· 2019-10-11
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Code
#106SImPa
63.87
Accuracy· 2020-03-05
PAC-Bayes meta-learning with implicit task-specific posteriors Code
#107PsCo
63.26
Accuracy· 2023-03-02
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning Code
#108MAMLSOTA
63.1
Accuracy· 2017-03-09
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Code
#109ProtoTransfer
62.99
Accuracy· 2020-06-19
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification Code
#110PL-CFE
62.91
Accuracy· 2022-09-27
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Code
#111Matching Nets (Cosine Matching Fn)SOTA
60
Accuracy· 2016-06-13
Matching Networks for One Shot Learning Code
#112CMVAE
58.95
Accuracy· 2023-02-20
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning Code
#113Meta-SVEBM
58.03
Accuracy
No paper
#114ArL
57.01
Accuracy· 2020-01-12
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning Code
#115InCo
56.96
Accuracy
No paper
#116ULDA
56.18
Accuracy· 2020-04-13
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation Code
#117Meta-GMVAE
55.73
Accuracy
No paperCode
#118U-MlSo+PN
55.38
Accuracy· 2022-01-15
Multi-level Second-order Few-shot Learning Code
#119LASIUM
54.56
Accuracy· 2020-06-18
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
#120CACTU
53.97
Accuracy· 2018-10-04
Unsupervised Learning via Meta-Learning
#121UMTRA
50.73
Accuracy· 2018-11-28
Unsupervised Meta-Learning For Few-Shot Image Classification
#122AAL
49.18
Accuracy· 2019-02-26
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation