danet

Dual Attention Network for Scene Segmentation

Introduction

@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