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Few Shot Learning On Stanford Cars
Metrics
12-shot Accuracy
16-shot Accuracy
4-shot Accuracy
8-shot Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||||
|---|---|---|---|---|---|---|
| SaSPA + CAL | 88.8 | 91.0 | 66.7 | 82.6 | Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation | |
| Real-Guidance + CAL | 83.9 | 88.3 | 44.3 | 73.1 | Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? | |
| CAL | 82.9 | 88.9 | 42.2 | 71.8 | Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification |
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