Few Shot Image Classification On Omniglot 1 2

Metrics

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title
MC2+	99.97	Meta-Curvature
DCN6-E	99.92%	Decoder Choice Network for Meta-Learning
DCN4	99.8%	Decoder Choice Network for Meta-Learning
Relation Net	99.6	Learning to Compare: Relation Network for Few-Shot Learning
iMAML, Hessian-Free	99.50	Meta-Learning with Implicit Gradients
MT-net	99.5	Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
MAML++	99.47	How to train your MAML
Hyperbolic ProtoNet	99.0	Hyperbolic Image Embeddings
Prototypical Networks	98.8	Prototypical Networks for Few-shot Learning
MAML	98.7	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
VAMPIRE	98.43	Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
adaCNN (DF)	98.42	Rapid Adaptation with Conditionally Shifted Neurons
ConvNet with Memory Module	98.4	Learning to Remember Rare Events
Matching Nets	98.1	Matching Networks for One Shot Learning
Neural Statistician	98.1	Towards a Neural Statistician
APL	97.9	Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Reptile + Transduction	97.68	On First-Order Meta-Learning Algorithms

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Few Shot Image Classification On Omniglot 1 2

Metrics

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title
MC2+	99.97	Meta-Curvature
DCN6-E	99.92%	Decoder Choice Network for Meta-Learning
DCN4	99.8%	Decoder Choice Network for Meta-Learning
Relation Net	99.6	Learning to Compare: Relation Network for Few-Shot Learning
iMAML, Hessian-Free	99.50	Meta-Learning with Implicit Gradients
MT-net	99.5	Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
MAML++	99.47	How to train your MAML
Hyperbolic ProtoNet	99.0	Hyperbolic Image Embeddings
Prototypical Networks	98.8	Prototypical Networks for Few-shot Learning
MAML	98.7	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
VAMPIRE	98.43	Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
adaCNN (DF)	98.42	Rapid Adaptation with Conditionally Shifted Neurons
ConvNet with Memory Module	98.4	Learning to Remember Rare Events
Matching Nets	98.1	Matching Networks for One Shot Learning
Neural Statistician	98.1	Towards a Neural Statistician
APL	97.9	Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Reptile + Transduction	97.68	On First-Order Meta-Learning Algorithms

0 of 17 row(s) selected.

Few Shot Image Classification On Omniglot 1 2 | SOTA | HyperAI