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
SgVA-CLIP	Accuracy 97.95	SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification 2022-11-28	코드 1
CAML [Laion-2b]	Accuracy 96.2	Context-Aware Meta-Learning 2023-10-17	코드 1
P>M>F (P=DINO-ViT-base, M=ProtoNet)	Accuracy 95.3	Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference 2022-04-15	코드 1
TRIDENT	Accuracy 86.11	Transductive Decoupled Variational Inference for Few-Shot Classification 2022-08-22	코드 1
PT+MAP+SF+SOT (transductive)	Accuracy 85.59	The Self-Optimal-Transport Feature Transform 2022-04-06	코드 1
PT+MAP+SF+BPA (transductive)	Accuracy 85.59	The Balanced-Pairwise-Affinities Feature Transform 2024-06-25	코드 1
PEMnE-BMS* (transductive)	Accuracy 85.54	Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning 2021-10-18	코드 1
PT+MAP (s+f) (transductive)	Accuracy 84.81	Few-Shot Learning by Integrating Spatial and Frequency Representation 2021-05-11	코드 1
BAVARDAGE	Accuracy 84.80	Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification 2022-09-18	연결 없음
EASY 3xResNet12 (transductive)	Accuracy 84.04	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
Illumination Augmentation	Accuracy 82.99	Sill-Net: Feature Augmentation with Separated Illumination Representation 2021-02-06	코드 1
PT+MAP (transductive)	Accuracy 82.92	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 2xResNet12 1/√2 (transductive)	Accuracy 82.31	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
Transductive CNAPS + FETI	Accuracy 79.9	Enhancing Few-Shot Image Classification with Unlabelled Examples 2020-06-17	코드 1 · 코드 2
PrototypeCompletion	Accuracy 79.01	Prototype Completion for Few-Shot Learning 2021-08-11	코드 1
SemFew-Trans	Accuracy 78.94	Simple Semantic-Aided Few-Shot Learning 2023-11-30	코드 1
MCT	Accuracy 78.55	Meta-Learned Confidence for Few-shot Learning 2020-02-27	코드 1
TIM-GD	Accuracy 77.80	Transductive Information Maximization For Few-Shot Learning 2020-08-25	코드 1 · 코드 2
Simple CNAPS + FETI	Accuracy 77.4	Improved Few-Shot Visual Classification 2019-12-07	코드 1 · 코드 2
EPNet	Accuracy 77.27	Embedding Propagation: Smoother Manifold for Few-Shot Classification 2020-03-09	코드 1
BD-CSPN + ESFR (WRN)	Accuracy 76.84	Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification 2021-06-22	코드 1
AmdimNet	Accuracy 76.82	Self-Supervised Learning For Few-Shot Image Classification 2019-11-14	코드 1 · 코드 2
LaplacianShot	Accuracy 75.57	Laplacian Regularized Few-Shot Learning 2020-06-29	코드 1 · 코드 2
HCTransformers	Accuracy 74.74	Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning 2022-03-17	코드 1
BD-CSPN + ESFR (ResNet-18)	Accuracy 73.98	Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification 2021-06-22	코드 1
pseudo-shots	Accuracy 73.35	Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks 2020-12-13	코드 1 · 코드 2
FewTURE	Accuracy 72.40	Rethinking Generalization in Few-Shot Classification 2022-06-15	코드 1
CPEA	Accuracy 71.97	Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification 2023-01-01	코드 1
DAPNA	Accuracy 71.88	Few-Shot Learning as Domain Adaptation: Algorithm and Analysis 2020-02-06	연결 없음
EASY 3xResNet12 (inductive)	Accuracy 71.75	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