← Generalized Few-Shot Learning

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아카이브 평가 5건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
MVCN	Per-Class Accuracy (1-shot) 57.3 Per-Class Accuracy (2-shots) 61.6 Per-Class Accuracy (5-shots) 65.4 Per-Class Accuracy (10-shots) 67.8 Per-Class Accuracy (20-shots) -	Better Generalized Few-Shot Learning Even Without Base Data 2022-11-29	코드 1
CADA-VAE	Per-Class Accuracy (1-shot) 55.2 Per-Class Accuracy (2-shots) 59.2 Per-Class Accuracy (5-shots) 63.0 Per-Class Accuracy (10-shots) 64.9 Per-Class Accuracy (20-shots) 66.0	Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders 2019-06-01	코드 1
CA-VAE	Per-Class Accuracy (1-shot) 50.6 Per-Class Accuracy (2-shots) 54.4 Per-Class Accuracy (5-shots) 59.6 Per-Class Accuracy (10-shots) 62.2	Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders 2019-06-01	코드 1
DA-VAE	Per-Class Accuracy (1-shot) 49.2 Per-Class Accuracy (2-shots) 54.6 Per-Class Accuracy (5-shots) 58.8 Per-Class Accuracy (10-shots) 60.8	Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders 2019-06-01	코드 1
REVISE	Per-Class Accuracy (1-shot) 36.3 Per-Class Accuracy (2-shots) 41.1 Per-Class Accuracy (5-shots) 44.6 Per-Class Accuracy (10-shots) 50.9	Learning Robust Visual-Semantic Embeddings 2017-03-17	연결 없음