HyperAI초신경

홈 뉴스 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Few Shot Image Classification On Mini 13

평가 지표

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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

0 of 14 row(s) selected.