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Few Shot Image Classification On Tiered 3

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

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

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Few Shot Image Classification On Tiered 3 | SOTA | HyperAI