← Generalized Few-Shot Learning
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아카이브 평가 5건 · 마지막 적재/변경

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
모델원본 지표·값논문구현
DRAGON
Per-Class Accuracy (1-shot)
41.0
Per-Class Accuracy (2-shots)
43.8
Per-Class Accuracy (5-shots)
46.7
Per-Class Accuracy (10-shots)
48.2
From Generalized zero-shot learning to long-tail with class descriptors
2020-04-05
코드 1
DA-VAE
Per-Class Accuracy (1-shot)
40.6
Per-Class Accuracy (2-shots)
43.0
Per-Class Accuracy (5-shots)
46.0
Per-Class Accuracy (10-shots)
47.6
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
2019-06-01
코드 1
CADA-VAE
Per-Class Accuracy (1-shot)
37.8
Per-Class Accuracy (2-shots)
41.4
Per-Class Accuracy (5-shots)
44.2
Per-Class Accuracy (10-shots)
45.8
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
2019-06-01
코드 1
CA-VAE
Per-Class Accuracy (1-shot)
37.8
Per-Class Accuracy (2-shots)
40.8
Per-Class Accuracy (5-shots)
43.6
Per-Class Accuracy (10-shots)
45.1
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
2019-06-01
코드 1
REVISE
Per-Class Accuracy (1-shot)
27.4
Per-Class Accuracy (2-shots)
33.4
Per-Class Accuracy (5-shots)
37.4
Per-Class Accuracy (10-shots)
40.8
Learning Robust Visual-Semantic Embeddings
2017-03-17
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