← Few-Shot Image Classification
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Mini-Imagenet 5-way (5-shot)

아카이브 평가 95건 · 마지막 적재/변경

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원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
SgVA-CLIP
Accuracy
98.72
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification
2022-11-28
코드 1
CAML [Laion-2b]
Accuracy
98.6
Context-Aware Meta-Learning
2023-10-17
코드 1
P>M>F (P=DINO-ViT-base, M=ProtoNet)
Accuracy
98.4
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
95.95
Transductive Decoupled Variational Inference for Few-Shot Classification
2022-08-22
코드 1
BAVARDAGE
Accuracy
91.65
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
2022-09-18
연결 없음
PEMnE-BMS*(transductive)
Accuracy
91.53
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
2021-10-18
코드 1
Transductive CNAPS + FETI
Accuracy
91.5
Enhancing Few-Shot Image Classification with Unlabelled Examples
2020-06-17
코드 1 · 코드 2
PT+MAP+SF+SOT (transductive)
Accuracy
91.34
The Self-Optimal-Transport Feature Transform
2022-04-06
코드 1
PT+MAP+SF+BPA (transductive)
Accuracy
91.34
The Balanced-Pairwise-Affinities Feature Transform
2024-06-25
코드 1
AmdimNet
Accuracy
90.98
Self-Supervised Learning For Few-Shot Image Classification
2019-11-14
코드 1 · 코드 2
Simple CNAPS + FETI
Accuracy
90.3
Improved Few-Shot Visual Classification
2019-12-07
코드 1 · 코드 2
HCTransformers
Accuracy
89.19
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
2022-03-17
코드 1
Illumination Augmentation
Accuracy
89.14
Sill-Net: Feature Augmentation with Separated Illumination Representation
2021-02-06
코드 1
EASY 3xResNet12 (transductive)
Accuracy
89.14
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
PT+MAP
Accuracy
88.82
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
88.57
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
EPNet + SSL
Accuracy
88.05
Embedding Propagation: Smoother Manifold for Few-Shot Classification
2020-03-09
코드 1
EASY 3xResNet12 (inductive)
Accuracy
87.15
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
CPEA
Accuracy
87.06
Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification
2023-01-01
코드 1
SemFew-Trans
Accuracy
86.49
Simple Semantic-Aided Few-Shot Learning
2023-11-30
코드 1
FewTURE
Accuracy
86.38
Rethinking Generalization in Few-Shot Classification
2022-06-15
코드 1
EASY 2xResNet12 1/√2 (inductive)
Accuracy
86.28
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
COSOC (inductive)
Accuracy
85.16
Rectifying the Shortcut Learning of Background for Few-Shot Learning
2021-07-16
코드 1
Invariance-Equivariance
Accuracy
84.78
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
2021-03-01
코드 1
LaplacianShot
Accuracy
84.72
Laplacian Regularized Few-Shot Learning
2020-06-29
코드 1 · 코드 2
PEMbE-NCM (inductive)
Accuracy
84.67
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
2021-10-18
코드 1
MSENet
Accuracy
84.42
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
2024-09-12
코드 1
BD-CSPN + ESFR (WRN)
Accuracy
84.36
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
2021-06-22
코드 1
EPNet
Accuracy
84.34
Embedding Propagation: Smoother Manifold for Few-Shot Classification
2020-03-09
코드 1
MetaQDA
Accuracy
84.28
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
2021-01-08
코드 1 · 코드 2