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Few Shot Image Classification On Tiered 3

Metrics

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title	Repository
Transductive CNAPS + FETI	80.6	Enhancing Few-Shot Image Classification with Unlabelled Examples
Simple CNAPS + FETI	78.5	Improved Few-Shot Visual Classification
Transductive CNAPS	72.5	Enhancing Few-Shot Image Classification with Unlabelled Examples
Simple CNAPS	70.2	Improved Few-Shot Visual Classification
TPN (Higher Shot)	59.4	Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Prototypical Networks (Higher Way)	58.3	Prototypical Networks for Few-shot Learning
Relation Networks	58.0	Learning to Compare: Relation Network for Few-Shot Learning
Label Propagation	57.9	Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Prototypical Networks	57.8	Prototypical Networks for Few-shot Learning
MAML + Transduction	54.7	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
MAML	53.3	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Reptile+BN	52.0	On First-Order Meta-Learning Algorithms
Reptile	48.0	On First-Order Meta-Learning Algorithms

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Few Shot Image Classification On Tiered 3 | SOTA | HyperAI