HyperAI초신경

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

한국어

HyperAI초신경

Few Shot Image Classification On Mini 12

평가 지표

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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 | HyperAI초신경