Papers with Code · CC BY-SA 4.0

FC100 5-way (5-shot)

아카이브 평가 22건 · 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
BAVARDAGE	Accuracy 70.60	Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification 2022-09-18	연결 없음
R2-D2+Task Aug	Accuracy 67.66	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
MetaOptNet-SVM+Task Aug	Accuracy 67.17	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
ACC + Amphibian	Accuracy 66.9	Generalized Adaptation for Few-Shot Learning 2019-11-25	연결 없음
EASY 3xResNet12 (transductive)	Accuracy 66.86	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
HCTransformers	Accuracy 66.42	Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning 2022-03-17	코드 1
MSENet	Accuracy 66.27	Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms 2024-09-12	코드 1
EASY 2xResNet12 1/√2 (transductive)	Accuracy 65.82	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 65.3	Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning 2021-03-01	코드 1
EASY 3xResNet12 (inductive)	Accuracy 64.74	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 (inductive)	Accuracy 64.14	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
FewTURE	Accuracy 63.81	Rethinking Generalization in Few-Shot Classification 2022-06-15	코드 1
SKD	Accuracy 63.1	Self-supervised Knowledge Distillation for Few-shot Learning 2020-06-17	코드 1 · 코드 2
MetaOptNet-SVM-trainval	Accuracy 62.5	Meta-Learning with Differentiable Convex Optimization 2019-04-07	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7
pseudo-shots	Accuracy 61.58	Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks 2020-12-13	코드 1 · 코드 2
ConstellationNets	Accuracy 59.7	Constellation Nets for Few-Shot Learning 2021-01-01	코드 1
SSFormers	Accuracy 58.92	Sparse Spatial Transformers for Few-Shot Learning 2021-09-27	코드 1
MCRNet-SVM	Accuracy 57.8	Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach 2020-07-21	코드 1
Multi-Task Learning	Accuracy 57.7	Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation 2021-06-16	코드 1
MTL	Accuracy 57.6	Meta-Transfer Learning for Few-Shot Learning 2018-12-06	코드 1 · 코드 2
MCRNet-RR	Accuracy 56.6	Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach 2020-07-21	코드 1
TADAM	Accuracy 56.1	TADAM: Task dependent adaptive metric for improved few-shot learning 2018-05-23	코드 1 · 코드 2 · 코드 3