← Few-Shot Image Classification

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Mini-ImageNet - 1-Shot Learning

아카이브 평가 16건 · 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
PT+MAP	Accuracy 82.92%	Leveraging the Feature Distribution in Transfer-based Few-Shot Learning 2020-06-06	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6
MCT	Accuracy 78.55%	Meta-Learned Confidence for Few-shot Learning 2020-02-27	코드 1
EPNet	Accuracy 77.27%	Embedding Propagation: Smoother Manifold for Few-Shot Classification 2020-03-09	코드 1
AmdimNet	Accuracy 76.82%	Self-Supervised Learning For Few-Shot Image Classification 2019-11-14	코드 1 · 코드 2
Transfer+SGC	Accuracy 76.47%	Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification 2020-01-27	코드 1
BaseTransformers (Inductive)	Accuracy 70.88%	BaseTransformers: Attention over base data-points for One Shot Learning 2022-10-05	코드 1
BD-CSPN	Accuracy 70.31%	Prototype Rectification for Few-Shot Learning 2019-11-25	코드 1
SIB	Accuracy 70.0%	연결 없음 논문 날짜 미기재	연결 없음
Multiple-semantics	Accuracy 67.2%	Baby steps towards few-shot learning with multiple semantics 2019-06-05	연결 없음
R2-D2+Task Aug	Accuracy 65.95%	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
MetaOptNet-SVM+Task Aug	Accuracy 65.38%	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
Neg-Margin	Accuracy 63.85	Negative Margin Matters: Understanding Margin in Few-shot Classification 2020-03-26	코드 1
DivCoop	Accuracy 63.73%	Diversity with Cooperation: Ensemble Methods for Few-Shot Classification 2019-03-27	코드 1
GCR	Accuracy 53.21	Few-Shot Learning with Global Class Representations 2019-08-14	코드 1 · 코드 2
HyperShot	Accuracy 53.18%	HyperShot: Few-Shot Learning by Kernel HyperNetworks 2022-03-21	코드 1
PLATIPUS	Accuracy 50.13%	Probabilistic Model-Agnostic Meta-Learning 2018-06-07	코드 1