Context-Aware Meta-Learning | ✓ Link | 93.5 | CAML [Laion-2b] | 2023-10-17 |
The Self-Optimal-Transport Feature Transform | ✓ Link | 92.83 | PT+MAP+SF+SOT (transductive) | 2022-04-06 |
The Balanced-Pairwise-Affinities Feature Transform | ✓ Link | 92.83 | PT+MAP+SF+BPA (transductive) | 2024-06-25 |
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference | ✓ Link | 92.2 | P>M>F (P=DINO-ViT-base, M=ProtoNet) | 2022-04-15 |
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning | ✓ Link | 91.86 | PEMnE-BMS* | 2021-10-18 |
Sill-Net: Feature Augmentation with Separated Illumination Representation | ✓ Link | 91.09 | Illumination Augmentation | 2021-02-06 |
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network | ✓ Link | 90.73 | LST+MAP | 2021-02-09 |
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning | ✓ Link | 90.68 | PT+MAP | 2020-06-06 |
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | | 90.63 | BAVARDAGE | 2022-09-18 |
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning | ✓ Link | 90.50 | HCTransformers | 2022-03-17 |
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 90.47 | EASY 3xResNet12 (transductive) | 2022-01-24 |
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 90.2 | EASY 2xResNet12 1/√2 (transductive) | 2022-01-24 |
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning | ✓ Link | 89.74 | Invariance-Equivariance | 2021-03-01 |
Generalized Adaptation for Few-Shot Learning | | 89.3 | ACC + Amphibian | 2019-11-25 |
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks | ✓ Link | 89.12 | pseudo-shots | 2020-12-13 |
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 89.0 | EASY 3xResNet12 (inductive) | 2022-01-24 |
Self-supervised Knowledge Distillation for Few-shot Learning | ✓ Link | 88.9 | SKD | 2020-06-17 |
Rethinking Generalization in Few-Shot Classification | ✓ Link | 88.90 | FewTURE | 2022-06-15 |
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition | ✓ Link | 88.79 | MetaQDA | 2021-01-08 |
Task Augmentation by Rotating for Meta-Learning | ✓ Link | 88.38 | MetaOptNet-SVM+Task Aug | 2020-02-08 |
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 88.38 | EASY 2xResNet12 1/√2 (inductive) | 2022-01-24 |
Task Augmentation by Rotating for Meta-Learning | ✓ Link | 88.33 | R2-D2+Task Aug | 2020-02-08 |
Charting the Right Manifold: Manifold Mixup for Few-shot Learning | ✓ Link | 87.47 | S2M2R | 2019-07-28 |
Adaptive Subspaces for Few-Shot Learning | ✓ Link | 87.3 | Adaptive Subspace Network | 2020-06-01 |
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach | ✓ Link | 86.8 | MCRNet-SVM | 2020-07-21 |
Constellation Nets for Few-Shot Learning | ✓ Link | 86.8 | ConstellationNets | 2021-01-01 |
Sparse Spatial Transformers for Few-Shot Learning | ✓ Link | 86.61 | SSFormers | 2021-09-27 |
Relational Embedding for Few-Shot Classification | ✓ Link | 86.60 | RENet | 2021-08-22 |
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients | ✓ Link | 85.3 | SIB | 2020-04-27 |
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach | ✓ Link | 85.2 | MCRNet-RR | 2020-07-21 |
Geometric Mean Improves Loss For Few-Shot Learning | | 85.08 | GML (ResNet-12) | 2025-01-24 |
Meta-Learning with Differentiable Convex Optimization | ✓ Link | 85 | MetaOptNet-SVM-trainval | 2019-04-07 |
Instance Credibility Inference for Few-Shot Learning | ✓ Link | 84.32 | ICI | 2020-03-26 |
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation | ✓ Link | 84.1 | Multi-Task Learning | 2021-06-16 |
Region Comparison Network for Interpretable Few-shot Image Classification | ✓ Link | 82.96 | RCN - ResNet12 | 2020-09-08 |
Match Them Up: Visually Explainable Few-shot Image Classification | ✓ Link | 82.93 | MTUNet+WRN | 2020-11-25 |
Match Them Up: Visually Explainable Few-shot Image Classification | ✓ Link | 80.16 | MTUNet+ResNet-18 | 2020-11-25 |
Region Comparison Network for Interpretable Few-shot Image Classification | ✓ Link | 77.63 | RCN - Conv4-64 | 2020-09-08 |
Learning to Compare: Relation Network for Few-Shot Learning | ✓ Link | 69.3 | Relation Networks* | 2017-11-16 |