jdc08161063 / DANet

Dual Attention Network for Scene Segmentation

Dual Attention Network for Scene Segmentation

Introduction

We propose a Dual Attention Network (DANet) to adaptively integrate local features with their global dependencies based on the self-attention mechanism. And we achieve new state-of-the-art segmentation performance on three challenging scene segmentation datasets, i.e., Cityscapes, PASCAL Context and COCO Stuff-10k dataset.

Cityscapes testing set result

We train our DANet-101 with only fine annotated data and submit our test results to the official evaluation server.

(The code is comming soon ...)

Citation

@article{fu2018dual,
  title={Dual Attention Network for Scene Segmentation},
  author={Fu, Jun and Liu, Jing and Tian, Haijie, and Fang, Zhiwei, and Lu, Hanqing},
  journal={arXiv preprint arXiv:1809.02983},
  year={2018}
}