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[Enhancement] Change readme style and Update metafiles. (#895) 
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* split code snippet & official repo.

* update md2yml hook.

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Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
 		2021-09-28 16:25:37 +08:00
..
README.md [Enhancement] Change readme style and Update metafiles. (#895) 2021-09-28 16:25:37 +08:00
danet.yml [Enhancement] Change readme style and Update metafiles. (#895) 2021-09-28 16:25:37 +08:00
danet_r50-d8_512x512_20k_voc12aug.py init commit 2020-07-10 02:39:01 +08:00
danet_r50-d8_512x512_40k_voc12aug.py init commit 2020-07-10 02:39:01 +08:00
danet_r50-d8_512x512_80k_ade20k.py init commit 2020-07-10 02:39:01 +08:00
danet_r50-d8_512x512_160k_ade20k.py init commit 2020-07-10 02:39:01 +08:00
danet_r50-d8_512x1024_40k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00
danet_r50-d8_512x1024_80k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00
danet_r50-d8_769x769_40k_cityscapes.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
danet_r50-d8_769x769_80k_cityscapes.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
danet_r101-d8_512x512_20k_voc12aug.py init commit 2020-07-10 02:39:01 +08:00
danet_r101-d8_512x512_40k_voc12aug.py init commit 2020-07-10 02:39:01 +08:00
danet_r101-d8_512x512_80k_ade20k.py init commit 2020-07-10 02:39:01 +08:00
danet_r101-d8_512x512_160k_ade20k.py init commit 2020-07-10 02:39:01 +08:00
danet_r101-d8_512x1024_40k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00
danet_r101-d8_512x1024_80k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00
danet_r101-d8_769x769_40k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00
danet_r101-d8_769x769_80k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00

README.md

Dual Attention Network for Scene Segmentation

Introduction

Official Repo

Code Snippet

DANet (CVPR'2019) 
@article{fu2018dual,
  title={Dual Attention Network for Scene Segmentation},
  author={Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu},
  booktitle={The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2019}
}

Results and models

Cityscapes

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
DANet R-50-D8 512x1024 40000 7.4 2.66 78.74 - config model | log
DANet R-101-D8 512x1024 40000 10.9 1.99 80.52 - config model | log
DANet R-50-D8 769x769 40000 8.8 1.56 78.88 80.62 config model | log
DANet R-101-D8 769x769 40000 12.8 1.07 79.88 81.47 config model | log
DANet R-50-D8 512x1024 80000 - - 79.34 - config model | log
DANet R-101-D8 512x1024 80000 - - 80.41 - config model | log
DANet R-50-D8 769x769 80000 - - 79.27 80.96 config model | log
DANet R-101-D8 769x769 80000 - - 80.47 82.02 config model | log

ADE20K

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
DANet R-50-D8 512x512 80000 11.5 21.20 41.66 42.90 config model | log
DANet R-101-D8 512x512 80000 15 14.18 43.64 45.19 config model | log
DANet R-50-D8 512x512 160000 - - 42.45 43.25 config model | log
DANet R-101-D8 512x512 160000 - - 44.17 45.02 config model | log

Pascal VOC 2012 + Aug

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
DANet R-50-D8 512x512 20000 6.5 20.94 74.45 75.69 config model | log
DANet R-101-D8 512x512 20000 9.9 13.76 76.02 77.23 config model | log
DANet R-50-D8 512x512 40000 - - 76.37 77.29 config model | log
DANet R-101-D8 512x512 40000 - - 76.51 77.32 config model | log