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SOTA
少样本图像分类
Few Shot Image Classification On Tiered 2
Few Shot Image Classification On Tiered 2
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy
Paper Title
Repository
MAML
34.4
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
-
Reptile+BN
35.3
On First-Order Meta-Learning Algorithms
-
MAML + Transduction
34.8
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
-
Reptile
33.7
On First-Order Meta-Learning Algorithms
-
TPN (Higher Shot)
44.8
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
-
Transductive CNAPS
54.6
Enhancing Few-Shot Image Classification with Unlabelled Examples
-
Simple CNAPS + FETI
57.1
Improved Few-Shot Visual Classification
-
Prototypical Networks (Higher Way)
38.6
Prototypical Networks for Few-shot Learning
-
Prototypical Networks
37.3
Prototypical Networks for Few-shot Learning
-
Simple CNAPS
48.1
Improved Few-Shot Visual Classification
-
Label Propagation
39.4
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
-
Relation Networks
36.3
Learning to Compare: Relation Network for Few-Shot Learning
-
Transductive CNAPS + FETI
65.1
Enhancing Few-Shot Image Classification with Unlabelled Examples
-
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