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aipq
huawei-noah/aipq
aipq is a machine learning model from huawei-noah. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
<p align="center" <img src="https://avatars.githubusercontent.com/u/12619994?s=200&v=4" width="150" </p
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Public
Updated Sep 27, 2023
Repo size
707 MB
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At a glance
- License
- mit
- Access
- Public
- Created
- Sep 27, 2023
- Updated
- Sep 27, 2023
- SHA
- b0f6159f
Model card
From the Hugging Face model README
Overview
<p align="center"> <img src="https://avatars.githubusercontent.com/u/12619994?s=200&v=4" width="150"> </p> <!-- -------------------------------------------------------------------------------- -->AIPQ is a full-reference image quality assessment method. Three model checkpoints are provided in this repository, these models are to be used together with this github repo
Citation
Please cite the following paper when using our code or model:
@inproceedings{thong2022content,
title={Content-Diverse Comparisons improve {IQA}},
author={Thong, William and Costa Pereira, Jose and Parisot, Sarah and Leonardis, Ales and McDonagh, Steven},
booktitle={British Machine Vision Conference},
year={2022}
}
- License
- mit
- Created
- Sep 27, 2023
- Updated
- Sep 27, 2023