Home News Latest Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Few Shot Image Classification On Mini 12

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name	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	-

0 of 14 row(s) selected.

Few Shot Image Classification On Mini 12 | SOTA | HyperAI