Metric: Top-1 accuracy % (higher is better)
| # | Model↕ | Top-1 accuracy %▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | POMP | 77.9 | No | Prompt Pre-Training with Twenty-Thousand Classes... | 2023-04-10 | Code |
| 2 | PromptSRC | 77.8 | No | Self-regulating Prompts: Foundational Model Adap... | 2023-07-13 | Code |
| 3 | MMRL | 77.53 | No | MMRL: Multi-Modal Representation Learning for Vi... | 2025-03-11 | Code |
| 4 | HPT++ | 77.52 | No | HPT++: Hierarchically Prompting Vision-Language ... | 2024-08-27 | Code |
| 5 | CoPrompt | 77.51 | No | Consistency-guided Prompt Learning for Vision-La... | 2023-06-01 | Code |
| 6 | HPT | 77.38 | No | Learning Hierarchical Prompt with Structured Lin... | 2023-12-11 | Code |
| 7 | MaPLe | 76.98 | No | MaPLe: Multi-modal Prompt Learning | 2022-10-06 | Code |
| 8 | CoCoOP | 76.18 | No | Conditional Prompt Learning for Vision-Language ... | 2022-03-10 | Code |
| 9 | CLIP | 73.96 | No | Learning Transferable Visual Models From Natural... | 2021-02-26 | Code |