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Mini-Imagenet 10-way (1-shot)
Image Classification on Mini-Imagenet 10-way (1-shot)
Metric: Accuracy (higher is better)
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Model
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Accuracy
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Extra Data
Paper
Date
↕
Code
1
Transductive CNAPS + FETI
68.5
Yes
Enhancing Few-Shot Image Classification with Unl...
2020-06-17
Code
2
Simple CNAPS + FETI
63.5
Yes
Improved Few-Shot Visual Classification
2019-12-07
Code
3
TIM-GD
56.1
No
Transductive Information Maximization For Few-Sh...
2020-08-25
Code
4
Transductive CNAPS
42.8
No
Enhancing Few-Shot Image Classification with Unl...
2020-06-17
Code
5
TPN (Higher Shot)
38.4
No
Learning to Propagate Labels: Transductive Propa...
2018-05-25
Code
6
Simple CNAPS
37.1
No
Improved Few-Shot Visual Classification
2019-12-07
Code
7
Label Propagation
35.2
No
Learning to Propagate Labels: Transductive Propa...
2018-05-25
Code
8
Relation Networks
34.9
No
Learning to Compare: Relation Network for Few-Sh...
2017-11-16
Code
9
Prototypical Networks (Higher Way)
34.6
No
Prototypical Networks for Few-shot Learning
2017-03-15
Code
10
Prototypical Networks
32.9
No
Prototypical Networks for Few-shot Learning
2017-03-15
Code
11
Reptile+BN
32
No
On First-Order Meta-Learning Algorithms
2018-03-08
Code
12
MAML + Transduction
31.8
No
Model-Agnostic Meta-Learning for Fast Adaptation...
2017-03-09
Code
13
MAML
31.3
No
Model-Agnostic Meta-Learning for Fast Adaptation...
2017-03-09
Code
14
Reptile
31.1
No
On First-Order Meta-Learning Algorithms
2018-03-08
Code