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Few Shot Image Classification On Tiered 1

평가 지표

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

Paper TitleRepository
CAML [Laion-2b]98.8Context-Aware Meta-Learning
TRIDENT96.57Transductive Decoupled Variational Inference for Few-Shot Classification
HCTransformers91.72Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
PEMnE-BMS*91.09Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
PT+MAP90.44Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
BAVARDAGE90.41Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification-
FewTURE89.96Rethinking Generalization in Few-Shot Classification
TIM-GD89.8Transductive Information Maximization For Few-Shot Learning
EASY 3xResNet12 (transductive)89.76EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
MetaQDA89.56Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
ASY ResNet12 (transductive)89.26EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
ICI89.00Instance Credibility Inference for Few-Shot Learning
S2M2R88.59Charting the Right Manifold: Manifold Mixup for Few-shot Learning
EPNet88.36Embedding Propagation: Smoother Manifold for Few-Shot Classification
EASY 3xResNet12 (inductive)88.33EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
LaplacianShot87.93Laplacian Regularized Few-Shot Learning-
ASY ResNet12 (inductive)87.86EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Transductive CNAPS + FETI87.7Enhancing Few-Shot Image Classification with Unlabelled Examples
BD-CSPN + ESFR (WRN)87.61Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
ESPT87.49ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
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