Papers with Code · CC BY-SA 4.0

CIFAR-FS 5-way (1-shot)

아카이브 평가 38건 · 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
PT+MAP+SF+SOT (transductive)	Accuracy 89.94	The Self-Optimal-Transport Feature Transform 2022-04-06	코드 1
PT+MAP+SF+BPA (transductive)	Accuracy 89.94	The Balanced-Pairwise-Affinities Feature Transform 2024-06-25	코드 1
PEMnE-BMS*	Accuracy 88.44	Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning 2021-10-18	코드 1
LST+MAP	Accuracy 87.79	Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network 2021-02-09	코드 1
Illumination Augmentation	Accuracy 87.73	Sill-Net: Feature Augmentation with Separated Illumination Representation 2021-02-06	코드 1
PT+MAP	Accuracy 87.69	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
BAVARDAGE	Accuracy 87.35	Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification 2022-09-18	연결 없음
EASY 3xResNet12 (transductive)	Accuracy 87.16	EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients 2022-01-24	코드 1 · 코드 2 · 코드 3
EASY 2xResNet12 1/√2 (transductive)	Accuracy 86.99	EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients 2022-01-24	코드 1 · 코드 2 · 코드 3
P>M>F (P=DINO-ViT-base, M=ProtoNet)	Accuracy 84.3	Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference 2022-04-15	코드 1
CAML [Laion-2b]	Accuracy 83.3	Context-Aware Meta-Learning 2023-10-17	코드 1
pseudo-shots	Accuracy 81.87	Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks 2020-12-13	코드 1 · 코드 2
SIB	Accuracy 80.0	Empirical Bayes Transductive Meta-Learning with Synthetic Gradients 2020-04-27	코드 1 · 코드 2
HCTransformers	Accuracy 78.89	Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning 2022-03-17	코드 1
Adaptive Subspace Network	Accuracy 78	Adaptive Subspaces for Few-Shot Learning 2020-06-01	코드 1
Invariance-Equivariance	Accuracy 77.87	Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning 2021-03-01	코드 1
FewTURE	Accuracy 77.76	Rethinking Generalization in Few-Shot Classification 2022-06-15	코드 1
R2-D2+Task Aug	Accuracy 77.66	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
SKD	Accuracy 76.9	Self-supervised Knowledge Distillation for Few-shot Learning 2020-06-17	코드 1 · 코드 2
MetaOptNet-SVM+Task Aug	Accuracy 76.75	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
ICI	Accuracy 76.51	Instance Credibility Inference for Few-Shot Learning 2020-03-26	코드 1
EASY 3xResNet12 (inductive)	Accuracy 76.2	EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients 2022-01-24	코드 1 · 코드 2 · 코드 3
MetaQDA	Accuracy 75.83	Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition 2021-01-08	코드 1 · 코드 2
ConstellationNets	Accuracy 75.4	Constellation Nets for Few-Shot Learning 2021-01-01	코드 1
EASY 2xResNet12 1/√2 (inductive)	Accuracy 75.24	EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients 2022-01-24	코드 1 · 코드 2 · 코드 3
S2M2R	Accuracy 74.81	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
MCRNet-SVM	Accuracy 74.7	Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach 2020-07-21	코드 1
RENet	Accuracy 74.51	Relational Embedding for Few-Shot Classification 2021-08-22	코드 1
SSFormers	Accuracy 74.5	Sparse Spatial Transformers for Few-Shot Learning 2021-09-27	코드 1
MCRNet-RR	Accuracy 73.8	Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach 2020-07-21	코드 1