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Meta-Learning

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13

Meta-learning is a methodology considered with "learning to learn" machine learning algorithms.

<span style="color:grey; opacity: 0.6">( Image credit: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks )</span>

평가 결과

데이터셋과 평가 조건을 선택해 성능·논문·코드를 비교하세요. 보존된 Papers with Code 기록으로, 최신 순위는 아닙니다.

PASCAL-5i (1-Shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation

평가 기록 105건

PASCAL-5i (5-Shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation

평가 기록 96건

COCO-20i (1-shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation

평가 기록 85건

COCO-20i (5-shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation

평가 기록 81건

FSS-1000 (1-shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation

평가 기록 24건

FSS-1000 (5-shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation

평가 기록 22건

MedConceptsQA

원본 태스크: Meta-Learning / Few-Shot Learning

평가 기록 12건

ChestX

원본 태스크: Meta-Learning / Few-Shot Learning / Cross-Domain Few-Shot

평가 기록 11건

EuroSAT

원본 태스크: Meta-Learning / Few-Shot Learning / Cross-Domain Few-Shot

평가 기록 11건

ISIC2018

원본 태스크: Meta-Learning / Few-Shot Learning / Cross-Domain Few-Shot

평가 기록 11건

BirdClef 2020 (Pruned)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Audio Classification

평가 기록 10건

ESC-50

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Audio Classification

평가 기록 10건

FSDKaggle2018

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Audio Classification

평가 기록 10건

NSynth

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Audio Classification

평가 기록 10건

VoxCeleb1

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Audio Classification

평가 기록 10건

CropDisease

원본 태스크: Meta-Learning / Few-Shot Learning / Cross-Domain Few-Shot

평가 기록 9건

CUB

원본 태스크: Meta-Learning / Few-Shot Learning / Cross-Domain Few-Shot

평가 기록 9건

cars

원본 태스크: Meta-Learning / Few-Shot Learning / Cross-Domain Few-Shot

평가 기록 8건

Places

원본 태스크: Meta-Learning / Few-Shot Learning / Cross-Domain Few-Shot

평가 기록 8건

Plantae

원본 태스크: Meta-Learning / Few-Shot Learning / Cross-Domain Few-Shot

평가 기록 8건

COCO-20i (1-shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation / Generalized Few-Shot Semantic Segmentation

평가 기록 6건

COCO-20i (2-way 1-shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation

평가 기록 6건

ML10

원본 태스크: Meta-Learning

평가 기록 6건

PASCAL-5i (5-Shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation / Generalized Few-Shot Semantic Segmentation

평가 기록 6건

COCO-20i (5-shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation / Generalized Few-Shot Semantic Segmentation

평가 기록 5건

PASCAL-5i (1-Shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation / Generalized Few-Shot Semantic Segmentation

평가 기록 5건

COCO-20i (10-shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation

평가 기록 4건

DTD

원본 태스크: Meta-Learning / Few-Shot Learning

평가 기록 4건

FGVC Aircraft

원본 태스크: Meta-Learning / Few-Shot Learning

평가 기록 4건

MT50

원본 태스크: Meta-Learning

평가 기록 4건

PASCAL-5i (10-Shot)

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation

평가 기록 4건

Common Voice

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Audio Classification

평가 기록 3건

CREMA-D

원본 태스크: Meta-Learning / Few-Shot Learning / Few-Shot Audio Classification

평가 기록 3건

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.