Few Shot Image Classification On Cub 200 5

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
CAML [Laion-2b]98.7Context-Aware Meta-Learning
PT+MAP+SF+BPA (transductive)97.12The Balanced-Pairwise-Affinities Feature Transform
PT+MAP+SF+SOT (transductive)97.12The Self-Optimal-Transport Feature Transform
PEMnE-BMS*96.43Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Illumination Augmentation96.28Sill-Net: Feature Augmentation with Separated Illumination Representation
LST+MAP94.09Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network
ESPT94.02ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
PT+MAP93.99Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
EASY 4xResNet12 (transductive)93.5EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
BAVARDAGE93.50Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification-
TDM93.37Task Discrepancy Maximization for Fine-grained Few-Shot Classification
ICI92.48Instance Credibility Inference for Few-Shot Learning
Transfer+SGC92.14Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification
EASY 3xResNet12 (inductive)91.93EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
EASY 4xResNet12 (inductive)91.59EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
VFD91.48Variational Feature Disentangling for Fine-Grained Few-Shot Classification-
RENet91.11Relational Embedding for Few-Shot Classification
S2M2R90.85Charting the Right Manifold: Manifold Mixup for Few-shot Learning
TIM-GD90.8Transductive Information Maximization For Few-Shot Learning
Neg-Margin89.40Negative Margin Matters: Understanding Margin in Few-shot Classification
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Few Shot Image Classification On Cub 200 5 | SOTA | HyperAI超神经