Cas-Gnn

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Cascade Graph Neural Networks for RGB-D Salient Object Detection (ECCV20)

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# Cas-Gnn
   This project provides the codes and results for '[Cascade Graph Neural Networks for RGB-D Salient Object Detection](https://arxiv.org/pdf/2008.03087.pdf).' (ECCV-2020)
   
## Saliency maps and Evaluation

The trained model is available on [GoogleDrive](https://drive.google.com/file/d/1wOPT2OVSihwkPBcOqK5YkuFV66D9Cuey/view?usp=sharing).

All of the saliency maps are available on [GoogleDrive](https://drive.google.com/file/d/1XXUCFUzD2g5Uamh7DzjQr-S7vX5lQ3yF/view?usp=sharing) or [BaiduYun](https://pan.baidu.com/s/1VVZbqYq9yc6Ouu0jrJTVuw)(3e23)
   
   You can use the toolbox provided by [dpfan](http://dpfan.net/d3netbenchmark/) or [jiwei0921](https://github.com/jiwei0921/Saliency-Evaluation-Toolbox) for evaluation.
  
### If you think this work is helpful, please cite
```
@InProceedings{Luo2020CascadeGN,
  title={Cascade Graph Neural Networks for RGB-D Salient Object Detection},
  author={Ao Luo and Xin Li and Fan Yang and Zhicheng Jiao and Hong Cheng and Siwei Lyu},
  booktitle={In 16th European Conference on Computer Vision (ECCV)},
  year={2020},
}
```

If you have any questions, please contact me at (aoluo_uestc@hotmail.com).

## Acknowledgement
Code is partially adapted from [DMRA](https://github.com/jiwei0921/DMRA). Please refer to [RGBD-SOD-datasets](https://github.com/jiwei0921/RGBD-SOD-datasets) for more details about the training and testing datasets.

Cas-Gnn

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