| Context-Aware Meta-Learning | ✓ Link | 98.7 | CAML [Laion-2b] | 2023-10-17 |
| The Self-Optimal-Transport Feature Transform | ✓ Link | 97.12 | PT+MAP+SF+SOT (transductive) | 2022-04-06 |
| The Balanced-Pairwise-Affinities Feature Transform | ✓ Link | 97.12 | PT+MAP+SF+BPA (transductive) | 2024-06-25 |
| Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning | ✓ Link | 96.43 | PEMnE-BMS* | 2021-10-18 |
| Sill-Net: Feature Augmentation with Separated Illumination Representation | ✓ Link | 96.28 | Illumination Augmentation | 2021-02-06 |
| Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network | ✓ Link | 94.09 | LST+MAP | 2021-02-09 |
| ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning | ✓ Link | 94.02 | ESPT | 2023-04-26 |
| Leveraging the Feature Distribution in Transfer-based Few-Shot Learning | ✓ Link | 93.99 | PT+MAP | 2020-06-06 |
| EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 93.5 | EASY 4xResNet12 (transductive) | 2022-01-24 |
| Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | | 93.50 | BAVARDAGE | 2022-09-18 |
| Task Discrepancy Maximization for Fine-grained Few-Shot Classification | ✓ Link | 93.37 | TDM | 2022-07-04 |
| Instance Credibility Inference for Few-Shot Learning | ✓ Link | 92.48 | ICI | 2020-03-26 |
| Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification | ✓ Link | 92.14 | Transfer+SGC | 2020-01-27 |
| EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 91.93 | EASY 3xResNet12 (inductive) | 2022-01-24 |
| EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 91.59 | EASY 4xResNet12 (inductive) | 2022-01-24 |
| Variational Feature Disentangling for Fine-Grained Few-Shot Classification | | 91.48 | VFD | 2020-10-07 |
| Relational Embedding for Few-Shot Classification | ✓ Link | 91.11 | RENet | 2021-08-22 |
| Charting the Right Manifold: Manifold Mixup for Few-shot Learning | ✓ Link | 90.85 | S2M2R | 2019-07-28 |
| Transductive Information Maximization For Few-Shot Learning | ✓ Link | 90.8 | TIM-GD | 2020-08-25 |
| Negative Margin Matters: Understanding Margin in Few-shot Classification | ✓ Link | 89.40 | Neg-Margin | 2020-03-26 |
| Self-Supervised Learning For Few-Shot Image Classification | ✓ Link | 89.18 | AmdimNet | 2019-11-14 |
| Laplacian Regularized Few-Shot Learning | ✓ Link | 88.68 | LaplacianShot | 2020-06-29 |
| Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification | ✓ Link | 88.65 | BD-CSPN + ESFR (ResNet-18) | 2021-06-22 |
| Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | ✓ Link | 85.64 | DKT + BNCosSim | 2019-10-11 |
| Learning to learn via Self-Critique | ✓ Link | 85.63 | Self-Critique and Adapt + High-End MAML++ | 2019-05-24 |
| Learning to learn via Self-Critique | ✓ Link | 83.8 | High-End MAML++ | 2019-05-24 |
| MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers | ✓ Link | 83.42 | MergedNet-Max | 2022-10-14 |
| Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions | ✓ Link | 83.03 | feat (ProtoNet) | 2018-12-10 |
| Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning | ✓ Link | 81.9 | DN4-DA (k=1) | 2019-03-28 |
| HyperShot: Few-Shot Learning by Kernel HyperNetworks | ✓ Link | 80.07 | HyperShot | 2022-03-21 |
| Hyperbolic Image Embeddings | ✓ Link | 72.22 | Hyperbolic ProtoNet | 2019-04-03 |
| Learning to Compare: Relation Network for Few-Shot Learning | ✓ Link | 65.32 | Relation Net | 2017-11-16 |