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> [**Self-regulating Prompts: Foundational Model Adaptation without Forgetting**]()<br>
> [**Self-regulating Prompts: Foundational Model Adaptation without Forgetting**](https://arxiv.org/abs/2307.06948)<br>
> [Muhammad Uzair Khattak*](https://muzairkhattak.github.io/), [Syed Talal Wasim*](https://talalwasim.github.io), [Muzammal Naseer](https://scholar.google.com/citations?user=tM9xKA8AAAAJ&hl=en&oi=ao), [Salman Khan](https://salman-h-khan.github.io/), [Ming-Hsuan Yang](http://faculty.ucmerced.edu/mhyang/), [Fahad Shahbaz Khan](https://scholar.google.es/citations?user=zvaeYnUAAAAJ&hl=en)
*Joint first authors
[![paper](https://img.shields.io/badge/arXiv-Paper-<COLOR>.svg)]()
[![paper](https://img.shields.io/badge/arXiv-Paper-<COLOR>.svg)](https://arxiv.org/abs/2307.06948)
[![Website](https://img.shields.io/badge/Project-Website-87CEEB)](https://muzairkhattak.github.io/PromptSRC/)
[![slides](https://img.shields.io/badge/Presentation-Slides-B762C1)](https://drive.google.com/file/d/1d14q8hhAl6qGsiPYpNIVfShMCulVJSUa/view?usp=sharing)
Official implementation of the paper "[Self-regulating Prompts: Foundational Model Adaptation without Forgetting](https://arxiv.org/abs/2210.03117)".
Official implementation of the paper "[Self-regulating Prompts: Foundational Model Adaptation without Forgetting](https://arxiv.org/abs/2307.06948)".
<hr />
@@ -79,7 +79,7 @@ We propose PromptSRC (Prompting with Self-regulating Constraints) which steers t
| Method | Paper | Configs | Training Scripts |
|---------------------------|:----------------------------------------------|:---------------------------------------------------------------:|:-------------------------------:|
| PromptSRC | [arXiv]() | [link](configs/trainers/PromptSRC/) | [link](scripts/promptsrc) |
| PromptSRC | [arXiv](https://arxiv.org/abs/2307.06948) | [link](configs/trainers/PromptSRC/) | [link](scripts/promptsrc) |
| Independent V-L Prompting | - | [link](configs/trainers/IVLP/) | [link](scripts/independent-vlp) |
| MaPLe | [CVPR 2023](https://arxiv.org/abs/2210.03117) | [link](configs/trainers/CoOp) | [link](scripts/maple) |
| CoOp | [IJCV 2022](https://arxiv.org/abs/2109.01134) | [link](configs/trainers/CoOp) | [link](scripts/coop) |
@@ -111,7 +111,7 @@ PromptSRC effectively maximizes supervised task performance (base classes) witho
| [CoCoOp](https://arxiv.org/abs/2203.05557) | 80.47 | 71.69 | 75.83 | 10 |
| [ProDA](https://arxiv.org/abs/2205.03340) | 81.56 | 75.83 | 76.65 | 100 |
| [MaPLe](https://arxiv.org/abs/2210.03117) | 82.28 | 75.14 | 78.55 | 5 |
| [PromptSRC (ours)]() | **84.26** | **76.10** | **79.97** | 20 |
| [PromptSRC (ours)](https://arxiv.org/abs/2307.06948) | **84.26** | **76.10** | **79.97** | 20 |
## Installation
For installation and other package requirements, please follow the instructions detailed in [INSTALL.md](docs/INSTALL.md).
@@ -143,7 +143,7 @@ If you find our work, this repository, or pretrained models useful, please consi
@article{khattak2023PromptSRC,
title={Self-regulating Prompts: Foundational Model Adaptation without Forgetting},
author={khattak, Muhammad Uzair and Wasim, Syed Talal and Muzzamal, Naseer and Khan, Salman and Yang, Ming-Hsuan and Khan, Fahad Shahbaz},
journal={arXiv:},
journal={arXiv:2307.06948},
year={2023}
}
```