Papers with Code · CC BY-SA 4.0

Mini-Imagenet 5-way (5-shot)

아카이브 평가 95건 · 마지막 적재/변경 2026-10-30

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.

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원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
PrototypeCompletion	Accuracy 84.18	Prototype Completion for Few-Shot Learning 2021-08-11	코드 1
ESPT	Accuracy 84.11	ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning 2023-04-26	코드 1
DAPNA	Accuracy 84.07	Few-Shot Learning as Domain Adaptation: Algorithm and Analysis 2020-02-06	연결 없음
SKD	Accuracy 83.54	Self-supervised Knowledge Distillation for Few-shot Learning 2020-06-17	코드 1 · 코드 2
UniSiam	Accuracy 83.40	Self-Supervision Can Be a Good Few-Shot Learner 2022-07-19	코드 1 · 코드 2 · 코드 3 · 코드 4
OSLO	Accuracy 83.4	Open-Set Likelihood Maximization for Few-Shot Learning 2023-01-20	코드 1
S2M2R	Accuracy 83.18	Charting the Right Manifold: Manifold Mixup for Few-shot Learning 2019-07-28	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8
SSFormers	Accuracy 82.75	Sparse Spatial Transformers for Few-Shot Learning 2021-09-27	코드 1
RENet	Accuracy 82.58	Relational Embedding for Few-Shot Classification 2021-08-22	코드 1
pseudo-shots	Accuracy 82.51	Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks 2020-12-13	코드 1 · 코드 2
BD-CSPN + ESFR (ResNet-18)	Accuracy 82.32	Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification 2021-06-22	코드 1
WRN + Self-Organizing Map	Accuracy 82.2	GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning 2020-09-04	코드 1
MetaOptNet-SVM+Task Aug	Accuracy 82.13	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
R2-D2+Task Aug	Accuracy 81.96	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
Adaptive Subspace Network	Accuracy 81.65	Adaptive Subspaces for Few-Shot Learning 2020-06-01	코드 1
SimpleShot (CL2N-DenseNet)	Accuracy 81.5	SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning 2019-11-12	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6
GML (ResNet-12)	Accuracy 81.13	Geometric Mean Improves Loss For Few-Shot Learning 2025-01-24	연결 없음
MetaFun-Attention	Accuracy 80.82	MetaFun: Meta-Learning with Iterative Functional Updates 2019-12-05	코드 1
DiffKendall (Meta-Baseline, ResNet-12)	Accuracy 80.79	DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation 2023-07-28	코드 1
ACC + Amphibian	Accuracy 80.75	Generalized Adaptation for Few-Shot Learning 2019-11-25	연결 없음
MergedNet-Max	Accuracy 80.40	MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers 2022-10-14	코드 1
MCRNet-SVM	Accuracy 80.34	Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach 2020-07-21	코드 1
ICI	Accuracy 80.11	Instance Credibility Inference for Few-Shot Learning 2020-03-26	코드 1
MetaOptNet-SVM-trainval	Accuracy 80	Meta-Learning with Differentiable Convex Optimization 2019-04-07	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7
ConstellationNets	Accuracy 79.95	Constellation Nets for Few-Shot Learning 2021-01-01	코드 1
TRAML	Accuracy 79.54	Boosting Few-Shot Learning With Adaptive Margin Loss 2020-05-28	연결 없음
SIB	Accuracy 79.2	Empirical Bayes Transductive Meta-Learning with Synthetic Gradients 2020-04-27	코드 1 · 코드 2
LST	Accuracy 78.7	Learning to Self-Train for Semi-Supervised Few-Shot Classification 2019-06-03	코드 1
feat+ (ProtoNet-ResNet)	Accuracy 78.38	Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions 2018-12-10	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6
MCRNet-RR	Accuracy 78.16	Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach 2020-07-21	코드 1