Visual Prompt Tuning On Vtab 1K Structured 8
Metrics
Mean Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Mean Accuracy |
|---|---|
| revisiting-the-power-of-prompt-for-visual | 59.23 |
| improving-visual-prompt-tuning-for-self | 49.10 |
| visual-prompt-tuning | 37.55 |
| revisiting-the-power-of-prompt-for-visual | 55.16 |
| visual-prompt-tuning | 42.38 |
| revisiting-the-power-of-prompt-for-visual | 58.36 |
| revisiting-the-power-of-prompt-for-visual | 53.46 |
| visual-prompt-tuning | 26.57 |
| improving-visual-prompt-tuning-for-self | 36.80 |
| visual-prompt-tuning | 27.50 |