Papers with Code · CC BY-SA 4.0

CUB 200 5-way 5-shot

아카이브 평가 32건 · 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
CAML [Laion-2b]	Accuracy 98.7	Context-Aware Meta-Learning 2023-10-17	코드 1
PT+MAP+SF+SOT (transductive)	Accuracy 97.12	The Self-Optimal-Transport Feature Transform 2022-04-06	코드 1
PT+MAP+SF+BPA (transductive)	Accuracy 97.12	The Balanced-Pairwise-Affinities Feature Transform 2024-06-25	코드 1
PEMnE-BMS*	Accuracy 96.43	Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning 2021-10-18	코드 1
Illumination Augmentation	Accuracy 96.28	Sill-Net: Feature Augmentation with Separated Illumination Representation 2021-02-06	코드 1
LST+MAP	Accuracy 94.09	Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network 2021-02-09	코드 1
ESPT	Accuracy 94.02	ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning 2023-04-26	코드 1
PT+MAP	Accuracy 93.99	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
EASY 4xResNet12 (transductive)	Accuracy 93.5	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
BAVARDAGE	Accuracy 93.50	Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification 2022-09-18	연결 없음
TDM	Accuracy 93.37	Task Discrepancy Maximization for Fine-grained Few-Shot Classification 2022-07-04	코드 1
ICI	Accuracy 92.48	Instance Credibility Inference for Few-Shot Learning 2020-03-26	코드 1
Transfer+SGC	Accuracy 92.14	Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification 2020-01-27	코드 1
EASY 3xResNet12 (inductive)	Accuracy 91.93	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 4xResNet12 (inductive)	Accuracy 91.59	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
VFD	Accuracy 91.48	Variational Feature Disentangling for Fine-Grained Few-Shot Classification 2020-10-07	연결 없음
RENet	Accuracy 91.11	Relational Embedding for Few-Shot Classification 2021-08-22	코드 1
S2M2R	Accuracy 90.85	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
TIM-GD	Accuracy 90.8	Transductive Information Maximization For Few-Shot Learning 2020-08-25	코드 1 · 코드 2
Neg-Margin	Accuracy 89.40	Negative Margin Matters: Understanding Margin in Few-shot Classification 2020-03-26	코드 1
AmdimNet	Accuracy 89.18	Self-Supervised Learning For Few-Shot Image Classification 2019-11-14	코드 1 · 코드 2
LaplacianShot	Accuracy 88.68	Laplacian Regularized Few-Shot Learning 2020-06-29	코드 1 · 코드 2
BD-CSPN + ESFR (ResNet-18)	Accuracy 88.65	Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification 2021-06-22	코드 1
DKT + BNCosSim	Accuracy 85.64	Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels 2019-10-11	코드 1 · 코드 2 · 코드 3
Self-Critique and Adapt + High-End MAML++	Accuracy 85.63	Learning to learn via Self-Critique 2019-05-24	코드 1
High-End MAML++	Accuracy 83.8	Learning to learn via Self-Critique 2019-05-24	코드 1
MergedNet-Max	Accuracy 83.42	MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers 2022-10-14	코드 1
feat (ProtoNet)	Accuracy 83.03	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
DN4-DA (k=1)	Accuracy 81.9	Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning 2019-03-28	코드 1
HyperShot	Accuracy 80.07	HyperShot: Few-Shot Learning by Kernel HyperNetworks 2022-03-21	코드 1