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Few Shot Image Classification On Mini 12

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	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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