CoADNet_NeurIPS20

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CoADNet_NeurIPS20

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CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection

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# CoADNet_NeurIPS20

Result repository for our paper:

Qijian Zhang, Runmin Cong, Junhui Hou, Chongyi Li, and Yao Zhao, CoADNet: Collaborative aggregation-and-distribution networks for co-salient object detection, Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020.

Project: https://rmcong.github.io/proj_CoADNet.html

## Results:
- Test benchmark datasets can can be download from BaiduYun: https://pan.baidu.com/s/1P5P0Qptz9-G-9nMA1A8lSQ (code: MVPL) 
- The results of our CoADNet can be download from BaiduYun: https://pan.baidu.com/s/1A9TFQ6yC73ulR6UmJ4QMCw (code: MVPL) 
- The results of comparison methods can be download from BaiduYun: https://pan.baidu.com/s/1KoGYbokx0of2MwsVCbcLWQ (code: MVPL)

## If you use our results of CoADNet, please cite our paper:

@inproceedings{CoADNet,
      title={{CoADNet}: Collaborative aggregation-and-distribution networks for co-salient object detection},
      author={Zhang, Qijian and Cong, Runmin and Hou, Junhui and Li, Chongyi and Zhao, Yao},
      booktitle={Proc. NeurIPS},
      year={2020}
    }

## Contact Us:
If you have any questions, please contact Runmin Cong at rmcong@bjtu.edu.cn.

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