This repository contains the offical implementations along with the experimental splits for the paper "Video Quality Assessment for Spatio-Temporal Resolution Adaptive Coding", Hanwei Zhu, Baoliang Chen, Lingyu Zhu, Peilin Chen, Linqi Song and Shiqi Wang.
The release codes were implemented and have been tested in Ubuntu 18.04 with
- Python = 3.6.13
- PyTorch = 1.8.1
- torchvision = 0.9.0
More details can be found in README.md in the folder of extract_features.
You can change the paramers in param.py to train each dataset with intra-/cross-dataset settings:
python main.py --test_only FalseYou can change the paramers in param.py to train and test each dataset, and the trained parameters of the proposed model on each dataset can be found at Google Drive:
python main.py --test_only True@article{zhu2022learing,
title={Video Quality Assessment for Spatio-Temporal Resolution Adaptive Coding},
author={Zhu, Hanwei and Chen, Baoliang and Zhu, Lingyu and Chen, Peilin and Song, Lingqi and Wang, Shiqi},
journal={},
volume={},
number={},
pages={},
month={},
year={}
}