Dataset and Code for the paper "SVGC-AVA: 360-Degree Video Saliency Prediction with Spherical Vector-Based Graph Convolution and Audio-Visual Attention", TMM
- Python3 == 3.8.5
- Pytorch == 1.7.1
You can download the dataset at
1.Install the dependencies
pip install -r requirements.txt
2.Generate the dataset
python data_prepare_qin.py
python data_prepare_chao.py
3.Train and test the model
sh main.sh
If you find this code and dataset is useful for your research, please cite our paper "SVGC-AVA: 360-Degree Video Saliency Prediction with Spherical Vector-Based Graph Convolution and Audio-Visual Attention"