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
OSLO	Accuracy 71.73	Open-Set Likelihood Maximization for Few-Shot Learning 2023-01-20	코드 1
WRN + Self-Organizing Map	Accuracy 71.5	GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning 2020-09-04	코드 1
EASY 2xResNet12 1/√2 (inductive)	Accuracy 70.63	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
LST	Accuracy 70.1	Learning to Self-Train for Semi-Supervised Few-Shot Classification 2019-06-03	코드 1
SIB	Accuracy 70.0	Empirical Bayes Transductive Meta-Learning with Synthetic Gradients 2020-04-27	코드 1 · 코드 2
ICI	Accuracy 69.66	Instance Credibility Inference for Few-Shot Learning 2020-03-26	코드 1
COSOC (inductive)	Accuracy 69.28	Rectifying the Shortcut Learning of Background for Few-Shot Learning 2021-07-16	코드 1
PEMbE-NCM (inductive)	Accuracy 68.43	Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning 2021-10-18	코드 1
ESPT	Accuracy 68.36	ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning 2023-04-26	코드 1
MergedNet-Max	Accuracy 68.05	MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers 2022-10-14	코드 1
LLS-ProtoNet	Accuracy 68.01	Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy 2021-11-08	연결 없음
STL DeepBDC (Inductive)	Accuracy 67.83	Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification 2022-04-09	코드 1
MetaQDA	Accuracy 67.83	Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition 2021-01-08	코드 1 · 코드 2
RENet	Accuracy 67.60	Relational Embedding for Few-Shot Classification 2021-08-22	코드 1
Meta DeepBDC (Inductive)	Accuracy 67.34	Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification 2022-04-09	코드 1
Invariance-Equivariance	Accuracy 67.28	Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning 2021-03-01	코드 1
SSFormers	Accuracy 67.25	Sparse Spatial Transformers for Few-Shot Learning 2021-09-27	코드 1
TRAML	Accuracy 67.10	Boosting Few-Shot Learning With Adaptive Margin Loss 2020-05-28	연결 없음
Adaptive Subspace Network	Accuracy 67.09	Adaptive Subspaces for Few-Shot Learning 2020-06-01	코드 1
SKD	Accuracy 67.04	Self-supervised Knowledge Distillation for Few-shot Learning 2020-06-17	코드 1 · 코드 2
MSENet	Accuracy 66.57	Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms 2024-09-12	코드 1
R2-D2+Task Aug	Accuracy 65.95	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
DiffKendall (Meta-Baseline, ResNet-12)	Accuracy 65.56	DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation 2023-07-28	코드 1
UniSiam	Accuracy 65.55	Self-Supervision Can Be a Good Few-Shot Learner 2022-07-19	코드 1 · 코드 2 · 코드 3 · 코드 4
GML (ResNet-12)	Accuracy 65.51	Geometric Mean Improves Loss For Few-Shot Learning 2025-01-24	연결 없음
MetaOptNet-SVM+Task Aug	Accuracy 65.38	Task Augmentation by Rotating for Meta-Learning 2020-02-08	코드 1
RS-FSL	Accuracy 65.33	Rich Semantics Improve Few-shot Learning 2021-04-26	연결 없음
AM3-TADAM	Accuracy 65.30	Adaptive Cross-Modal Few-Shot Learning 2019-02-19	코드 1
S2M2R	Accuracy 64.93	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
ConstellationNets	Accuracy 64.89	Constellation Nets for Few-Shot Learning 2021-01-01	코드 1