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Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection (GCAGC-CVPR2020)

Pipeline

pipeline

Testing code

Pretrained models (HRNET version)

Training Dataset (COCO-SEG, 78 categories, 200K images) && Cosal results

Instance co-segmentation and co-saliency (published in TMM)

Citation

If you use this code, please cite our paper:

@inproceedings{zhang2020adaptive,
  title={Adaptive graph convolutional network with attention graph clustering for co-saliency detection},
  author={Zhang, Kaihua and Li, Tengpeng and Shen, Shiwen and Liu, Bo and Chen, Jin and Liu, Qingshan},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={9050--9059},
  year={2020}
}
@article{li2021image,
  title={Image Co-saliency Detection and Instance Co-segmentation using Attention Graph Clustering based Graph Convolutional Network},
  author={Li, Tengpeng and Zhang, Kaihua and Shen, Shiwen and Liu, Bo and Liu, Qingshan and Li, Zhu},
  journal={IEEE Transactions on Multimedia},
  year={2021},
  publisher={IEEE}
}