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Few Shot Image Classification On Tiered 3

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
Accuracy
Paper TitleRepository
TPN (Higher Shot)59.4Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Reptile+BN52.0On First-Order Meta-Learning Algorithms
Label Propagation57.9Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
MAML53.3Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Simple CNAPS70.2Improved Few-Shot Visual Classification
Relation Networks58.0Learning to Compare: Relation Network for Few-Shot Learning
Transductive CNAPS + FETI80.6Enhancing Few-Shot Image Classification with Unlabelled Examples
Simple CNAPS + FETI78.5Improved Few-Shot Visual Classification
Prototypical Networks (Higher Way)58.3Prototypical Networks for Few-shot Learning
MAML + Transduction54.7Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Transductive CNAPS72.5Enhancing Few-Shot Image Classification with Unlabelled Examples
Reptile48.0On First-Order Meta-Learning Algorithms
Prototypical Networks57.8Prototypical Networks for Few-shot Learning
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Few Shot Image Classification On Tiered 3 | SOTA | HyperAI