Papers with Code · CC BY-SA 4.0

CIFAR-FS 5-way (5-shot)

아카이브 평가 39건 · 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
CAML [Laion-2b]	Accuracy 93.5	Context-Aware Meta-Learning 2023-10-17	코드 1
PT+MAP+SF+SOT (transductive)	Accuracy 92.83	The Self-Optimal-Transport Feature Transform 2022-04-06	코드 1
PT+MAP+SF+BPA (transductive)	Accuracy 92.83	The Balanced-Pairwise-Affinities Feature Transform 2024-06-25	코드 1
P>M>F (P=DINO-ViT-base, M=ProtoNet)	Accuracy 92.2	Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference 2022-04-15	코드 1
PEMnE-BMS*	Accuracy 91.86	Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning 2021-10-18	코드 1
Illumination Augmentation	Accuracy 91.09	Sill-Net: Feature Augmentation with Separated Illumination Representation 2021-02-06	코드 1
LST+MAP	Accuracy 90.73	Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network 2021-02-09	코드 1
PT+MAP	Accuracy 90.68	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 90.63	Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification 2022-09-18	연결 없음
HCTransformers	Accuracy 90.50	Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning 2022-03-17	코드 1
EASY 3xResNet12 (transductive)	Accuracy 90.47	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 90.2	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
Invariance-Equivariance	Accuracy 89.74	Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning 2021-03-01	코드 1
ACC + Amphibian	Accuracy 89.3	Generalized Adaptation for Few-Shot Learning 2019-11-25	연결 없음
pseudo-shots	Accuracy 89.12	Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks 2020-12-13	코드 1 · 코드 2
EASY 3xResNet12 (inductive)	Accuracy 89.0	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
SKD	Accuracy 88.9	Self-supervised Knowledge Distillation for Few-shot Learning 2020-06-17	코드 1 · 코드 2
FewTURE	Accuracy 88.90	Rethinking Generalization in Few-Shot Classification 2022-06-15	코드 1
MetaQDA	Accuracy 88.79	Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition 2021-01-08	코드 1 · 코드 2
MetaOptNet-SVM+Task Aug	Accuracy 88.38	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
EASY 2xResNet12 1/√2 (inductive)	Accuracy 88.38	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
R2-D2+Task Aug	Accuracy 88.33	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
S2M2R	Accuracy 87.47	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
Adaptive Subspace Network	Accuracy 87.3	Adaptive Subspaces for Few-Shot Learning 2020-06-01	코드 1
MCRNet-SVM	Accuracy 86.8	Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach 2020-07-21	코드 1
ConstellationNets	Accuracy 86.8	Constellation Nets for Few-Shot Learning 2021-01-01	코드 1
SSFormers	Accuracy 86.61	Sparse Spatial Transformers for Few-Shot Learning 2021-09-27	코드 1
RENet	Accuracy 86.60	Relational Embedding for Few-Shot Classification 2021-08-22	코드 1
SIB	Accuracy 85.3	Empirical Bayes Transductive Meta-Learning with Synthetic Gradients 2020-04-27	코드 1 · 코드 2
MCRNet-RR	Accuracy 85.2	Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach 2020-07-21	코드 1