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Few-Shot Image Classification
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CUB 200 5-way 5-shot
Few-Shot Image Classification on CUB 200 5-way 5-shot
Metric: Accuracy (higher is better)
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#
Model
↕
Accuracy
▼
Extra Data
Paper
Date
↕
Code
1
CAML [Laion-2b]
98.7
Yes
Context-Aware Meta-Learning
2023-10-17
Code
2
PT+MAP+SF+SOT (transductive)
97.12
Yes
The Self-Optimal-Transport Feature Transform
2022-04-06
Code
3
PT+MAP+SF+BPA (transductive)
97.12
No
The Balanced-Pairwise-Affinities Feature Transform
2024-06-25
Code
4
PEMnE-BMS*
96.43
Yes
Squeezing Backbone Feature Distributions to the ...
2021-10-18
Code
5
Illumination Augmentation
96.28
Yes
Sill-Net: Feature Augmentation with Separated Il...
2021-02-06
Code
6
LST+MAP
94.09
Yes
Transfer learning based few-shot classification ...
2021-02-09
Code
7
ESPT
94.02
No
ESPT: A Self-Supervised Episodic Spatial Pretext...
2023-04-26
Code
8
PT+MAP
93.99
Yes
Leveraging the Feature Distribution in Transfer-...
2020-06-06
Code
9
EASY 4xResNet12 (transductive)
93.5
Yes
EASY: Ensemble Augmented-Shot Y-shaped Learning:...
2022-01-24
Code
10
BAVARDAGE
93.5
Yes
Adaptive Dimension Reduction and Variational Inf...
2022-09-18
-
11
TDM
93.37
Yes
Task Discrepancy Maximization for Fine-grained F...
2022-07-04
Code
12
ICI
92.48
Yes
Instance Credibility Inference for Few-Shot Lear...
2020-03-26
Code
13
Transfer+SGC
92.14
Yes
Graph-based Interpolation of Feature Vectors for...
2020-01-27
Code
14
EASY 3xResNet12 (inductive)
91.93
Yes
EASY: Ensemble Augmented-Shot Y-shaped Learning:...
2022-01-24
Code
15
EASY 4xResNet12 (inductive)
91.59
Yes
EASY: Ensemble Augmented-Shot Y-shaped Learning:...
2022-01-24
Code
16
VFD
91.48
No
Variational Feature Disentangling for Fine-Grain...
2020-10-07
-
17
RENet
91.11
No
Relational Embedding for Few-Shot Classification
2021-08-22
Code
18
S2M2R
90.85
No
Charting the Right Manifold: Manifold Mixup for ...
2019-07-28
Code
19
TIM-GD
90.8
No
Transductive Information Maximization For Few-Sh...
2020-08-25
Code
20
Neg-Margin
89.4
No
Negative Margin Matters: Understanding Margin in...
2020-03-26
Code
21
AmdimNet
89.18
No
Self-Supervised Learning For Few-Shot Image Clas...
2019-11-14
Code
22
LaplacianShot
88.68
No
Laplacian Regularized Few-Shot Learning
2020-06-28
Code
23
BD-CSPN + ESFR (ResNet-18)
88.65
No
Unsupervised Embedding Adaptation via Early-Stag...
2021-06-22
Code
24
DKT + BNCosSim
85.64
No
Bayesian Meta-Learning for the Few-Shot Setting ...
2019-10-11
Code
25
Self-Critique and Adapt + High-End MAML++
85.63
No
Learning to learn via Self-Critique
2019-05-24
Code
26
High-End MAML++
83.8
No
Learning to learn via Self-Critique
2019-05-24
Code
27
MergedNet-Max
83.42
No
-
-
Code
28
feat (ProtoNet)
83.03
No
Few-Shot Learning via Embedding Adaptation with ...
2018-12-10
Code
29
DN4-DA (k=1)
81.9
No
Revisiting Local Descriptor based Image-to-Class...
2019-03-28
Code
30
HyperShot
80.07
No
HyperShot: Few-Shot Learning by Kernel HyperNetw...
2022-03-21
Code
31
Hyperbolic ProtoNet
72.22
No
Hyperbolic Image Embeddings
2019-04-03
Code
32
Relation Net
65.32
No
Learning to Compare: Relation Network for Few-Sh...
2017-11-16
Code
#1
CAML [Laion-2b]
SOTA
98.7
Accuracy
· Extra Data
· 2023-10-17
Context-Aware Meta-Learning
Code
#2
PT+MAP+SF+SOT (transductive)
SOTA
97.12
Accuracy
· Extra Data
· 2022-04-06
The Self-Optimal-Transport Feature Transform
Code
#3
PT+MAP+SF+BPA (transductive)
97.12
Accuracy
· 2024-06-25
The Balanced-Pairwise-Affinities Feature Transform
Code
#4
PEMnE-BMS*
SOTA
96.43
Accuracy
· Extra Data
· 2021-10-18
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Code
#5
Illumination Augmentation
SOTA
96.28
Accuracy
· Extra Data
· 2021-02-06
Sill-Net: Feature Augmentation with Separated Illumination Representation
Code
#6
LST+MAP
94.09
Accuracy
· Extra Data
· 2021-02-09
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network
Code
#7
ESPT
94.02
Accuracy
· 2023-04-26
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Code
#8
PT+MAP
SOTA
93.99
Accuracy
· Extra Data
· 2020-06-06
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Code
#9
EASY 4xResNet12 (transductive)
93.5
Accuracy
· Extra Data
· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Code
#10
BAVARDAGE
93.5
Accuracy
· Extra Data
· 2022-09-18
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
#11
TDM
93.37
Accuracy
· Extra Data
· 2022-07-04
Task Discrepancy Maximization for Fine-grained Few-Shot Classification
Code
#12
ICI
SOTA
92.48
Accuracy
· Extra Data
· 2020-03-26
Instance Credibility Inference for Few-Shot Learning
Code
#13
Transfer+SGC
SOTA
92.14
Accuracy
· Extra Data
· 2020-01-27
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification
Code
#14
EASY 3xResNet12 (inductive)
91.93
Accuracy
· Extra Data
· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Code
#15
EASY 4xResNet12 (inductive)
91.59
Accuracy
· Extra Data
· 2022-01-24
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Code
#16
VFD
91.48
Accuracy
· 2020-10-07
Variational Feature Disentangling for Fine-Grained Few-Shot Classification
#17
RENet
91.11
Accuracy
· 2021-08-22
Relational Embedding for Few-Shot Classification
Code
#18
S2M2R
SOTA
90.85
Accuracy
· 2019-07-28
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Code
#19
TIM-GD
90.8
Accuracy
· 2020-08-25
Transductive Information Maximization For Few-Shot Learning
Code
#20
Neg-Margin
89.4
Accuracy
· 2020-03-26
Negative Margin Matters: Understanding Margin in Few-shot Classification
Code
#21
AmdimNet
89.18
Accuracy
· 2019-11-14
Self-Supervised Learning For Few-Shot Image Classification
Code
#22
LaplacianShot
88.68
Accuracy
· 2020-06-28
Laplacian Regularized Few-Shot Learning
Code
#23
BD-CSPN + ESFR (ResNet-18)
88.65
Accuracy
· 2021-06-22
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
Code
#24
DKT + BNCosSim
85.64
Accuracy
· 2019-10-11
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
Code
#25
Self-Critique and Adapt + High-End MAML++
SOTA
85.63
Accuracy
· 2019-05-24
Learning to learn via Self-Critique
Code
#26
High-End MAML++
83.8
Accuracy
· 2019-05-24
Learning to learn via Self-Critique
Code
#27
MergedNet-Max
83.42
Accuracy
No paper
Code
#28
feat (ProtoNet)
SOTA
83.03
Accuracy
· 2018-12-10
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Code
#29
DN4-DA (k=1)
81.9
Accuracy
· 2019-03-28
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Code
#30
HyperShot
80.07
Accuracy
· 2022-03-21
HyperShot: Few-Shot Learning by Kernel HyperNetworks
Code
#31
Hyperbolic ProtoNet
72.22
Accuracy
· 2019-04-03
Hyperbolic Image Embeddings
Code
#32
Relation Net
SOTA
65.32
Accuracy
· 2017-11-16
Learning to Compare: Relation Network for Few-Shot Learning
Code