Papers with Code · CC BY-SA 4.0

Tiered ImageNet 5-way (1-shot)

아카이브 평가 49건 · 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 96.8	Context-Aware Meta-Learning 2023-10-17	코드 1
TRIDENT	Accuracy 86.97	Transductive Decoupled Variational Inference for Few-Shot Classification 2022-08-22	코드 1
PEMnE-BMS*	Accuracy 86.07	Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning 2021-10-18	코드 1
PT+MAP	Accuracy 85.41	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 85.20	Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification 2022-09-18	연결 없음
EASY 3xResNet12 (transductive)	Accuracy 84.29	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
ICI	Accuracy 84.01	Instance Credibility Inference for Few-Shot Learning 2020-03-26	코드 1
ASY ResNet12 (transductive)	Accuracy 83.98	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
TIM-GD	Accuracy 82.1	Transductive Information Maximization For Few-Shot Learning 2020-08-25	코드 1 · 코드 2
BD-CSPN + ESFR (WRN)	Accuracy 81.77	Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification 2021-06-22	코드 1
LaplacianShot	Accuracy 80.30	Laplacian Regularized Few-Shot Learning 2020-06-29	코드 1 · 코드 2
BD-CSPN + ESFR (ResNet-18)	Accuracy 80.13	Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification 2021-06-22	코드 1
HCTransformers	Accuracy 79.67	Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning 2022-03-17	코드 1
EPNet	Accuracy 78.50	Embedding Propagation: Smoother Manifold for Few-Shot Classification 2020-03-09	코드 1
LST	Accuracy 77.7	Learning to Self-Train for Semi-Supervised Few-Shot Classification 2019-06-03	코드 1
OSLO	Accuracy 76.64	Open-Set Likelihood Maximization for Few-Shot Learning 2023-01-20	코드 1
pseudo-shots	Accuracy 76.55	Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks 2020-12-13	코드 1 · 코드 2
FewTURE	Accuracy 76.32	Rethinking Generalization in Few-Shot Classification 2022-06-15	코드 1
EASY 3xResNet12 (inductive)	Accuracy 74.71	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 74.33	Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition 2021-01-08	코드 1 · 코드 2
ASY ResNet12 (ours)	Accuracy 74.31	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
Transductive CNAPS + FETI	Accuracy 73.8	Enhancing Few-Shot Image Classification with Unlabelled Examples 2020-06-17	코드 1 · 코드 2
S2M2R	Accuracy 73.71	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
ESPT	Accuracy 72.68	ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning 2023-04-26	코드 1
SSFormers	Accuracy 72.52	Sparse Spatial Transformers for Few-Shot Learning 2021-09-27	코드 1
Invariance-Equivariance	Accuracy 72.21	Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning 2021-03-01	코드 1
SKD	Accuracy 72.03	Self-supervised Knowledge Distillation for Few-shot Learning 2020-06-17	코드 1 · 코드 2
RENet	Accuracy 71.61	Relational Embedding for Few-Shot Classification 2021-08-22	코드 1
Simple CNAPS + FETI	Accuracy 71.4	Improved Few-Shot Visual Classification 2019-12-07	코드 1 · 코드 2
SImPa	Accuracy 70.82	PAC-Bayes meta-learning with implicit task-specific posteriors 2020-03-05	코드 1