Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
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  • codemeta.json file
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  • .zenodo.json file
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  • Scientific vocabulary similarity
    Low similarity (2.7%) to scientific vocabulary
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Repository

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  • Host: GitHub
  • Owner: SZU-AdvTech-2024
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Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Citation

https://github.com/SZU-AdvTech-2024/367-MaPLe-Multi-modal-Prompt-Learning/blob/main/

## Conclusions:

Based on the original code of MaPLe, the following improvements were made:

* Firstly, the input prompts of MaPLe were modified to an average form of multiple template prompts. (Corresponding to modifications in the file `multimodal-prompt-learning-main/trainers/maple.py`).
* Secondly, shared adapter parameters were added between the text encoder and the image encoder. (Corresponding to modifications in the file `multimodal-prompt-learning-main/clip/model.py`).

Owner

  • Name: SZU-AdvTech-2024
  • Login: SZU-AdvTech-2024
  • Kind: organization

Citation (citation.txt)

@inproceedings{REPO367,
    author = "Khattak, Muhammad Uzair and Rasheed, Hanoona and Maaz, Muhammad and Khan, Salman and Khan, Fahad Shahbaz",
    booktitle = "2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
    number = "",
    pages = "19113-19122",
    title = "{MaPLe: Multi-modal Prompt Learning}",
    volume = "",
    year = "2023"
}

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