Scene Segmentation with Dual Relation-aware Attention Network (TNNLS2020)
Our DRANet achieves 82.9% on Cityscapes test set (submit the result on August, 2019), which is a new state-of-the-arts performance with only using fine annotated dataset. The testing code are released in DANet.
Citation
if you find DANet and DRANet useful in your research, please consider citing:
@article{fu2020scene,
title={Scene Segmentation With Dual Relation-Aware Attention Network},
author={Fu, Jun and Liu, Jing and Jiang, Jie and Li, Yong and Bao, Yongjun and Lu, Hanqing},
journal={IEEE Transactions on Neural Networks and Learning Systems},
year={2020},
publisher={IEEE}
}
@inproceedings{fu2019dual,
title={Dual attention network for scene segmentation},
author={Fu, Jun and Liu, Jing and Tian, Haijie and Li, Yong and Bao, Yongjun and Fang, Zhiwei and Lu, Hanqing},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={3146--3154},
year={2019}
}