Visual Prompt Tuning On Fgvc
Metrics
Mean Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Mean Accuracy |
|---|---|
| visual-prompt-tuning | 72.02 |
| improving-visual-prompt-tuning-for-self | 73.39 |
| revisiting-the-power-of-prompt-for-visual | 83.26 |
| visual-prompt-tuning | 57.84 |
| visual-prompt-tuning | 83.12 |
| revisiting-the-power-of-prompt-for-visual | 84.08 |
| revisiting-the-power-of-prompt-for-visual | 73.95 |
| revisiting-the-power-of-prompt-for-visual | 86.00 |
| improving-visual-prompt-tuning-for-self | 83.00 |
| visual-prompt-tuning | 79.26 |