Few Shot Learning On Dtd
评估指标
12-shot Accuracy
16-shot Accuracy
4-shot Accuracy
8-shot Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | 12-shot Accuracy | 16-shot Accuracy | 4-shot Accuracy | 8-shot Accuracy | Paper Title | Repository |
|---|---|---|---|---|---|---|
| Real-Guidance + CAL | 54.5 | 57.4 | 41.5 | 50.6 | Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? | |
| Variational Prompt Tuning | - | - | - | - | Bayesian Prompt Learning for Image-Language Model Generalization | |
| SaSPA + CAL | 58.1 | 60.2 | 48.3 | 54.8 | Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation | |
| CAL | 54.6 | 57.4 | 40.9 | 50.4 | Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification |
0 of 4 row(s) selected.