Papers with Code · CC BY-SA 4.0

Tiered ImageNet 5-way (5-shot)

아카이브 평가 51건 · 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.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
DiffKendall (Meta-Baseline, ResNet-12)	Accuracy 85.31	DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation 2023-07-28	코드 1
RENet	Accuracy 85.28	Relational Embedding for Few-Shot Classification 2021-08-22	코드 1
LST	Accuracy 85.2	Learning to Self-Train for Semi-Supervised Few-Shot Classification 2019-06-03	코드 1
GML (ResNet-12)	Accuracy 84.04	Geometric Mean Improves Loss For Few-Shot Learning 2025-01-24	연결 없음
Multi-Task Learning	Accuracy 83.69	Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation 2021-06-16	코드 1
Adaptive Subspace Network	Accuracy 83.32	Adaptive Subspaces for Few-Shot Learning 2020-06-01	코드 1
MetaFun-Kernel	Accuracy 83.28	MetaFun: Meta-Learning with Iterative Functional Updates 2019-12-05	코드 1
VAMPIRE	Accuracy 82.7	Uncertainty in Model-Agnostic Meta-Learning using Variational Inference 2019-07-27	코드 1
AM3-TADAM	Accuracy 82.58	Adaptive Cross-Modal Few-Shot Learning 2019-02-19	코드 1
SImPa	Accuracy 81.84	PAC-Bayes meta-learning with implicit task-specific posteriors 2020-03-05	코드 1
Transductive CNAPS	Accuracy 81.8	Enhancing Few-Shot Image Classification with Unlabelled Examples 2020-06-17	코드 1 · 코드 2
MetaOptNet-SVM-trainval	Accuracy 81.75	Meta-Learning with Differentiable Convex Optimization 2019-04-07	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7
TapNet	Accuracy 80.26	TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning 2019-05-16	코드 1
MTUNet+WRN	Accuracy 80.05	Match Them Up: Visually Explainable Few-shot Image Classification 2020-11-25	코드 1
Simple CNAPS	Accuracy 80.0	Improved Few-Shot Visual Classification 2019-12-07	코드 1 · 코드 2
Deep Comparison Network	Accuracy 79.62	RelationNet2: Deep Comparison Columns for Few-Shot Learning 2018-11-17	코드 1 · 코드 2
MTUNet+ResNet-18	Accuracy 77.82	Match Them Up: Visually Explainable Few-shot Image Classification 2020-11-25	코드 1
GAP	Accuracy 74.9	Meta-Learning with a Geometry-Adaptive Preconditioner 2023-04-04	코드 1
Approximate GAP	Accuracy 74.41	Meta-Learning with a Geometry-Adaptive Preconditioner 2023-04-04	코드 1
HyperTransformer	Accuracy 73.9%	HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning 2022-01-11	코드 1 · 코드 2
RFS	Accuracy 73.2%	HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning 2022-01-11	코드 1 · 코드 2