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SOTA
少样本图像分类
Few Shot Image Classification On Mini 12
Few Shot Image Classification On Mini 12
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
Transductive CNAPS + FETI
68.5
Enhancing Few-Shot Image Classification with Unlabelled Examples
Simple CNAPS + FETI
63.5
Improved Few-Shot Visual Classification
TIM-GD
56.1
Transductive Information Maximization For Few-Shot Learning
Transductive CNAPS
42.8
Enhancing Few-Shot Image Classification with Unlabelled Examples
TPN (Higher Shot)
38.4
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Simple CNAPS
37.1
Improved Few-Shot Visual Classification
Label Propagation
35.2
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Relation Networks
34.9
Learning to Compare: Relation Network for Few-Shot Learning
Prototypical Networks (Higher Way)
34.6
Prototypical Networks for Few-shot Learning
Prototypical Networks
32.9
Prototypical Networks for Few-shot Learning
Reptile+BN
32.0
On First-Order Meta-Learning Algorithms
MAML + Transduction
31.8
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
MAML
31.3
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Reptile
31.1
On First-Order Meta-Learning Algorithms
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Few Shot Image Classification On Mini 12 | SOTA | HyperAI超神经