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Few Shot Image Classification On Cifar Fs 5 1

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

模型名称
Accuracy
Paper TitleRepository
EASY 2xResNet12 1/√2 (transductive)90.2EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
PT+MAP+SF+SOT (transductive)92.83The Self-Optimal-Transport Feature Transform
Adaptive Subspace Network87.3Adaptive Subspaces for Few-Shot Learning
BAVARDAGE90.63Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification-
Multi-Task Learning84.1Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
RCN - Conv4-6477.63Region Comparison Network for Interpretable Few-shot Image Classification
MTUNet+ResNet-1880.16Match Them Up: Visually Explainable Few-shot Image Classification
P>M>F (P=DINO-ViT-base, M=ProtoNet)92.2Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
HCTransformers90.50Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
MetaQDA88.79Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Invariance-Equivariance89.74Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
FewTURE88.90Rethinking Generalization in Few-Shot Classification
CAML [Laion-2b]93.5Context-Aware Meta-Learning-
MetaOptNet-SVM-trainval85Meta-Learning with Differentiable Convex Optimization
EASY 3xResNet12 (transductive)90.47EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
ICI84.32Instance Credibility Inference for Few-Shot Learning
LST+MAP90.73Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network
EASY 3xResNet12 (inductive)89.0EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
MTUNet+WRN82.93Match Them Up: Visually Explainable Few-shot Image Classification
S2M2R87.47Charting the Right Manifold: Manifold Mixup for Few-shot Learning
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