Prompt Engineering On Imagenet 21K
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| VPT | 24.8 | Visual Prompt Tuning | |
| POMP | 25.3 | Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition |
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