NTIRE2021-IQA-MACS-Pytorch

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NTIRE2021-IQA-MACS-Pytorch

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competition of Image Quality Assessment - NTIRE 2021

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# ASNA_MACS_IQA (Pytorch)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

![PyTorch](https://img.shields.io/badge/PyTorch-%23EE4C2C.svg?style=for-the-badge&logo=PyTorch&logoColor=white)

Tensorflow version : https://github.com/smehdia/NTIRE2021-IQA-MACS

### **competition of Image Quality Assessment (IQA) challenge - NTIRE  2021**

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- ***Challenge Paper*** : [NTIRE 2021 Challenge on Perceptual Image Quality Assessment](https://openaccess.thecvf.com/content/CVPR2021W/NTIRE/papers/Gu_NTIRE_2021_Challenge_on_Perceptual_Image_Quality_Assessment_CVPRW_2021_paper.pdf)

- ***Our Paper*** : [(ASNA) An Attention-Based Siamese-Difference Neural Network With  Surrogate Ranking Loss Function for Perceptual Image Quality Assessment](https://openaccess.thecvf.com/content/CVPR2021W/NTIRE/papers/Ayyoubzadeh_ASNA_An_Attention-Based_Siamese-Difference_Neural_Network_With_Surrogate_Ranking_Loss_CVPRW_2021_paper.pdf) .

- ***Supp. Materials*** : [Supplementary Materials](https://openaccess.thecvf.com/content/CVPR2021W/NTIRE/supplemental/Ayyoubzadeh_ASNA_An_Attention-Based_CVPRW_2021_supplemental.pdf)

we use [SoSeep](https://github.com/technicolor-research/sodeep) codes for Ranking Loss section .

NTIRE2021-IQA-MACS-Pytorch

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