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Few Shot Image Classification On Tiered 2

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name	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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Few Shot Image Classification On Tiered 2 | SOTA | HyperAI