Few Shot Image Classification On Dirichlet 5
Métriques
1:1 Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | 1:1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| BAVARDAGE | 90.7 | Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | - |
| BDCSPN | 87.1 | Prototype Rectification for Few-Shot Learning | |
| Simpleshot | 87.5 | SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning | - |
| Laplacian-Shot | 87.7 | Laplacian Regularized Few-Shot Learning | |
| PT-MAP | 71.3 | Leveraging the Feature Distribution in Transfer-based Few-Shot Learning | |
| Baseline++ | 87.5 | A Closer Look at Few-shot Classification | |
| Entropy Minimization | 82.9 | A Baseline for Few-Shot Image Classification | |
| alpha-TIM | 89.8 | Realistic Evaluation of Transductive Few-Shot Learning |
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