Command Palette
Search for a command to run...
Prompt Engineering On Imagenet 21K
Metrics
Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| POMP | 25.3 | Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition | |
| VPT | 24.8 | Visual Prompt Tuning |
0 of 2 row(s) selected.