Few Shot Image Classification On Dirichlet 2
Metrics
1:1 Accuracy
Results
Performance results of various models on this benchmark
Model Name | 1:1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| Entropy Minimization | 61.2 | A Baseline for Few-Shot Image Classification | |
| alpha-TIM | 74.4 | Realistic Evaluation of Transductive Few-Shot Learning | |
| BDCSPN | 74.1 | Prototype Rectification for Few-Shot Learning | |
| BAVARDAGE | 76.6 | Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | - |
| Simpleshot | 69.6 | SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning | - |
| Baseline++ | 68.0 | A Closer Look at Few-shot Classification | |
| PT-MAP | 64.1 | Leveraging the Feature Distribution in Transfer-based Few-Shot Learning | |
| LR+ICI | 74.6 | Instance Credibility Inference for Few-Shot Learning | |
| Laplacian-Shot | 72.3 | Laplacian Regularized Few-Shot Learning |
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