| The Self-Optimal-Transport Feature Transform | ✓ Link | 89.94 | PT+MAP+SF+SOT (transductive) | 2022-04-06 |
| The Balanced-Pairwise-Affinities Feature Transform | ✓ Link | 89.94 | PT+MAP+SF+BPA (transductive) | 2024-06-25 |
| Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning | ✓ Link | 88.44 | PEMnE-BMS* | 2021-10-18 |
| Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network | ✓ Link | 87.79 | LST+MAP | 2021-02-09 |
| Sill-Net: Feature Augmentation with Separated Illumination Representation | ✓ Link | 87.73 | Illumination Augmentation | 2021-02-06 |
| Leveraging the Feature Distribution in Transfer-based Few-Shot Learning | ✓ Link | 87.69 | PT+MAP | 2020-06-06 |
| Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | | 87.35 | BAVARDAGE | 2022-09-18 |
| EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 87.16 | EASY 3xResNet12 (transductive) | 2022-01-24 |
| EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 86.99 | EASY 2xResNet12 1/√2 (transductive) | 2022-01-24 |
| Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference | ✓ Link | 84.3 | P>M>F (P=DINO-ViT-base, M=ProtoNet) | 2022-04-15 |
| Context-Aware Meta-Learning | ✓ Link | 83.3 | CAML [Laion-2b] | 2023-10-17 |
| Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks | ✓ Link | 81.87 | pseudo-shots | 2020-12-13 |
| Empirical Bayes Transductive Meta-Learning with Synthetic Gradients | ✓ Link | 80.0 | SIB | 2020-04-27 |
| Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning | ✓ Link | 78.89 | HCTransformers | 2022-03-17 |
| Adaptive Subspaces for Few-Shot Learning | ✓ Link | 78 | Adaptive Subspace Network | 2020-06-01 |
| Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning | ✓ Link | 77.87 | Invariance-Equivariance | 2021-03-01 |
| Rethinking Generalization in Few-Shot Classification | ✓ Link | 77.76 | FewTURE | 2022-06-15 |
| Task Augmentation by Rotating for Meta-Learning | ✓ Link | 77.66 | R2-D2+Task Aug | 2020-02-08 |
| Self-supervised Knowledge Distillation for Few-shot Learning | ✓ Link | 76.9 | SKD | 2020-06-17 |
| Task Augmentation by Rotating for Meta-Learning | ✓ Link | 76.75 | MetaOptNet-SVM+Task Aug | 2020-02-08 |
| Instance Credibility Inference for Few-Shot Learning | ✓ Link | 76.51 | ICI | 2020-03-26 |
| EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 76.2 | EASY 3xResNet12 (inductive) | 2022-01-24 |
| Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition | ✓ Link | 75.83 | MetaQDA | 2021-01-08 |
| Constellation Nets for Few-Shot Learning | ✓ Link | 75.4 | ConstellationNets | 2021-01-01 |
| EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 75.24 | EASY 2xResNet12 1/√2 (inductive) | 2022-01-24 |
| Charting the Right Manifold: Manifold Mixup for Few-shot Learning | ✓ Link | 74.81 | S2M2R | 2019-07-28 |
| Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach | ✓ Link | 74.7 | MCRNet-SVM | 2020-07-21 |
| Relational Embedding for Few-Shot Classification | ✓ Link | 74.51 | RENet | 2021-08-22 |
| Sparse Spatial Transformers for Few-Shot Learning | ✓ Link | 74.5 | SSFormers | 2021-09-27 |
| Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach | ✓ Link | 73.8 | MCRNet-RR | 2020-07-21 |
| Generalized Adaptation for Few-Shot Learning | | 73.1 | ACC + Amphibian | 2019-11-25 |
| Meta-Learning with Differentiable Convex Optimization | ✓ Link | 72.8 | MetaOptNet-SVM-trainval | 2019-04-07 |
| Geometric Mean Improves Loss For Few-Shot Learning | | 71.09 | GML (ResNet-12) | 2025-01-24 |
| Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation | ✓ Link | 69.5 | Multi-Task Learning | 2021-06-16 |
| Region Comparison Network for Interpretable Few-shot Image Classification | ✓ Link | 69.02 | RCN - ResNet12 | 2020-09-08 |
| Match Them Up: Visually Explainable Few-shot Image Classification | ✓ Link | 68.34 | MTUNet+WRN | 2020-11-25 |
| Match Them Up: Visually Explainable Few-shot Image Classification | ✓ Link | 66.31 | MTUNet+ResNet-18 | 2020-11-25 |
| Region Comparison Network for Interpretable Few-shot Image Classification | ✓ Link | 61.61 | RCN - Conv4-64 | 2020-09-08 |