Command Palette
Search for a command to run...
Few Shot Image Classification On Dirichlet 5
评估指标
1:1 Accuracy
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | ||
|---|---|---|
| BAVARDAGE | 90.7 | Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification |
| alpha-TIM | 89.8 | Realistic Evaluation of Transductive Few-Shot Learning |
| Laplacian-Shot | 87.7 | Laplacian Regularized Few-Shot Learning |
| Simpleshot | 87.5 | SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning |
| Baseline++ | 87.5 | A Closer Look at Few-shot Classification |
| BDCSPN | 87.1 | Prototype Rectification for Few-Shot Learning |
| Entropy Minimization | 82.9 | A Baseline for Few-Shot Image Classification |
| PT-MAP | 71.3 | Leveraging the Feature Distribution in Transfer-based Few-Shot Learning |
0 of 8 row(s) selected.