Dual Attention Network for Scene Segmentation
Introduction
[ALGORITHM]
@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) |
download |
| DANet |
R-50-D8 |
512x1024 |
40000 |
7.4 |
2.66 |
78.74 |
- |
model | log |
| DANet |
R-101-D8 |
512x1024 |
40000 |
10.9 |
1.99 |
80.52 |
- |
model | log |
| DANet |
R-50-D8 |
769x769 |
40000 |
8.8 |
1.56 |
78.88 |
80.62 |
model | log |
| DANet |
R-101-D8 |
769x769 |
40000 |
12.8 |
1.07 |
79.88 |
81.47 |
model | log |
| DANet |
R-50-D8 |
512x1024 |
80000 |
- |
- |
79.34 |
- |
model | log |
| DANet |
R-101-D8 |
512x1024 |
80000 |
- |
- |
80.41 |
- |
model | log |
| DANet |
R-50-D8 |
769x769 |
80000 |
- |
- |
79.27 |
80.96 |
model | log |
| DANet |
R-101-D8 |
769x769 |
80000 |
- |
- |
80.47 |
82.02 |
model | log |
ADE20K
| Method |
Backbone |
Crop Size |
Lr schd |
Mem (GB) |
Inf time (fps) |
mIoU |
mIoU(ms+flip) |
download |
| DANet |
R-50-D8 |
512x512 |
80000 |
11.5 |
21.20 |
41.66 |
42.90 |
model | log |
| DANet |
R-101-D8 |
512x512 |
80000 |
15 |
14.18 |
43.64 |
45.19 |
model | log |
| DANet |
R-50-D8 |
512x512 |
160000 |
- |
- |
42.45 |
43.25 |
model | log |
| DANet |
R-101-D8 |
512x512 |
160000 |
- |
- |
44.17 |
45.02 |
model | log |
Pascal VOC 2012 + Aug
| Method |
Backbone |
Crop Size |
Lr schd |
Mem (GB) |
Inf time (fps) |
mIoU |
mIoU(ms+flip) |
download |
| DANet |
R-50-D8 |
512x512 |
20000 |
6.5 |
20.94 |
74.45 |
75.69 |
model | log |
| DANet |
R-101-D8 |
512x512 |
20000 |
9.9 |
13.76 |
76.02 |
77.23 |
model | log |
| DANet |
R-50-D8 |
512x512 |
40000 |
- |
- |
76.37 |
77.29 |
model | log |
| DANet |
R-101-D8 |
512x512 |
40000 |
- |
- |
76.51 |
77.32 |
model | log |
