Papers with Code · CC BY-SA 4.0

Mini-Imagenet 5-way (1-shot)

아카이브 평가 105건 · 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
SimpleShot (CL2N-DenseNet)	Accuracy 64.29	SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning 2019-11-12	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6
MetaFun-Attention	Accuracy 64.13	MetaFun: Meta-Learning with Iterative Functional Updates 2019-12-05	코드 1
MetaOptNet-SVM-trainval	Accuracy 64.09	Meta-Learning with Differentiable Convex Optimization 2019-04-07	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7
DKT + BNCosSim	Accuracy 62.96	Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels 2019-10-11	코드 1 · 코드 2 · 코드 3
Deep Comparison Network	Accuracy 62.88	RelationNet2: Deep Comparison Columns for Few-Shot Learning 2018-11-17	코드 1 · 코드 2
Self-Critique and Adapt + High-End MAML++	Accuracy 62.86	Learning to learn via Self-Critique 2019-05-24	코드 1
MCRNet-SVM	Accuracy 62.53	Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach 2020-07-21	코드 1
ACC + Amphibian	Accuracy 62.21	Generalized Adaptation for Few-Shot Learning 2019-11-25	연결 없음
ProtoNet MTM SPSA-Track	Accuracy 61.94	Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning 2021-10-25	코드 1
feat+ (ProtoNet-ResNet)	Accuracy 61.72	Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions 2018-12-10	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6
TapNet	Accuracy 61.65	TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning 2019-05-16	코드 1
MCRNet-RR	Accuracy 61.32	Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach 2020-07-21	코드 1
MTL	Accuracy 61.2	Meta-Transfer Learning for Few-Shot Learning 2018-12-06	코드 1 · 코드 2
Delta-encoder	Accuracy 59.9	Delta-encoder: an effective sample synthesis method for few-shot object recognition 2018-06-12	코드 1
Multi-Task Learning	Accuracy 59.84	Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation 2021-06-16	코드 1
Category-agnostic mapping WRN	Accuracy 59.60	Few-Shot Image Recognition by Predicting Parameters from Activations 2017-06-12	코드 1
IDeMe-Net	Accuracy 59.14	Image Deformation Meta-Networks for One-Shot Learning 2019-05-28	코드 1
TADAM	Accuracy 58.5	TADAM: Task dependent adaptive metric for improved few-shot learning 2018-05-23	코드 1 · 코드 2 · 코드 3
RCN - ResNet12	Accuracy 57.40	Region Comparison Network for Interpretable Few-shot Image Classification 2020-09-08	코드 1
adaResNet (DF)	Accuracy 56.88	Rapid Adaptation with Conditionally Shifted Neurons 2017-12-28	연결 없음
Cosine similarity function + C64F feature extractor	Accuracy 56.20	Dynamic Few-Shot Visual Learning without Forgetting 2018-04-25	코드 1 · 코드 2 · 코드 3 · 코드 4
MTUNet+WRN	Accuracy 56.12	Match Them Up: Visually Explainable Few-shot Image Classification 2020-11-25	코드 1
MC2+	Accuracy 55.73	Meta-Curvature 2019-02-09	코드 1
Transductive CNAPS	Accuracy 55.6	Enhancing Few-Shot Image Classification with Unlabelled Examples 2020-06-17	코드 1 · 코드 2
MTUNet+ResNet-18	Accuracy 55.03	Match Them Up: Visually Explainable Few-shot Image Classification 2020-11-25	코드 1
GAP	Accuracy 54.86	Meta-Learning with a Geometry-Adaptive Preconditioner 2023-04-04	코드 1
MATANet	Accuracy 53.63	Multi-scale Adaptive Task Attention Network for Few-Shot Learning 2020-11-30	연결 없음
RCN - Conv4-64	Accuracy 53.57	Region Comparison Network for Interpretable Few-shot Image Classification 2020-09-08	코드 1
Approximate GAP	Accuracy 53.52	Meta-Learning with a Geometry-Adaptive Preconditioner 2023-04-04	코드 1
Simple CNAPS	Accuracy 53.2	Improved Few-Shot Visual Classification 2019-12-07	코드 1 · 코드 2