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← Generalized Few-Shot Learning
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아카이브 평가 6건 · 마지막 적재/변경

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
모델원본 지표·값논문구현
MVCN
Per-Class Accuracy (1-shot)
69.9
Per-Class Accuracy (2-shots)
76.4
Per-Class Accuracy (5-shots)
81.2
Per-Class Accuracy (10-shots)
82.2
 Better Generalized Few-Shot Learning Even Without Base Data
2022-11-29		 코드 1
CADA-VAE
Per-Class Accuracy (1-shot)
69.6
Per-Class Accuracy (2-shots)
73.7
Per-Class Accuracy (5-shots)
78.1
Per-Class Accuracy (10-shots)
80.2
Per-Class Accuracy (20-shots)
80.9
 Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
2018-12-05		 코드 1 · 코드 2
DA-VAE
Per-Class Accuracy (1-shot)
68.0
Per-Class Accuracy (2-shots)
73.0
Per-Class Accuracy (5-shots)
75.6
Per-Class Accuracy (10-shots)
76.8
 Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
2019-06-01		 코드 1
DRAGON
Per-Class Accuracy (1-shot)
67.1
Per-Class Accuracy (2-shots)
69.1
Per-Class Accuracy (5-shots)
76.7
Per-Class Accuracy (10-shots)
81.9
Per-Class Accuracy (20-shots)
83.3
 From Generalized zero-shot learning to long-tail with class descriptors
2020-04-05		 코드 1
CA-VAE
Per-Class Accuracy (1-shot)
64.0
Per-Class Accuracy (2-shots)
71.3
Per-Class Accuracy (5-shots)
76.6
Per-Class Accuracy (10-shots)
79.0
 Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
2019-06-01		 코드 1
REVISE
Per-Class Accuracy (1-shot)
56.1
Per-Class Accuracy (2-shots)
60.3
Per-Class Accuracy (5-shots)
64.1
Per-Class Accuracy (10-shots)
67.8
 Learning Robust Visual-Semantic Embeddings
2017-03-17		 연결 없음