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Few Shot Image Classification On Mini 13

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name	Accuracy	Paper Title	Repository
TPN (Higher Shot)	52.8	Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning	-
Label Propagation	51.2	Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning	-
Transductive CNAPS + FETI	85.9	Enhancing Few-Shot Image Classification with Unlabelled Examples	-
MAML + Transduction	48.2	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	-
Reptile+BN	47.6	On First-Order Meta-Learning Algorithms	-
TIM-GD	72.8	Transductive Information Maximization For Few-Shot Learning	-
Prototypical Networks (Higher Way)	50.1	Prototypical Networks for Few-shot Learning	-
Transductive CNAPS	59.6	Enhancing Few-Shot Image Classification with Unlabelled Examples	-
MAML	46.9	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	-
Relation Networks	47.9	Learning to Compare: Relation Network for Few-Shot Learning	-
Prototypical Networks	49.3	Prototypical Networks for Few-shot Learning	-
Reptile	44.7	On First-Order Meta-Learning Algorithms	-
Simple CNAPS	56.7	Improved Few-Shot Visual Classification	-
Simple CNAPS + FETI	83.1	Improved Few-Shot Visual Classification	-

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