Few Shot Learning On Dtd
Metrics
12-shot Accuracy
16-shot Accuracy
4-shot Accuracy
8-shot Accuracy
Results
Performance results of various models on this benchmark
Model Name | 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 |
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