HyperAI超神经

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中文

HyperAI超神经

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

模型名称	Accuracy	Paper Title	Repository
Relation Networks	34.9	Learning to Compare: Relation Network for Few-Shot Learning	-
Transductive CNAPS + FETI	68.5	Enhancing Few-Shot Image Classification with Unlabelled Examples	-
Reptile	31.1	On First-Order Meta-Learning Algorithms	-
Prototypical Networks	32.9	Prototypical Networks for Few-shot Learning	-
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	-
Reptile+BN	32.0	On First-Order Meta-Learning Algorithms	-
MAML	31.3	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	-
Simple CNAPS + FETI	63.5	Improved Few-Shot Visual Classification	-
Transductive CNAPS	42.8	Enhancing Few-Shot Image Classification with Unlabelled Examples	-
TIM-GD	56.1	Transductive Information Maximization For Few-Shot Learning	-
Label Propagation	35.2	Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning	-
Prototypical Networks (Higher Way)	34.6	Prototypical Networks for Few-shot Learning	-
MAML + Transduction	31.8	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	-

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