dmnet

Dynamic Multi-scale Filters for Semantic Segmentation

Introduction

[ALGORITHM]

@InProceedings{He_2019_ICCV,
author = {He, Junjun and Deng, Zhongying and Qiao, Yu},
title = {Dynamic Multi-Scale Filters for Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2019}
}

Results and models

Cityscapes

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	download
DMNet	R-50-D8	512x1024	40000	7.0	3.66	77.78	79.14	model | log
DMNet	R-101-D8	512x1024	40000	10.6	2.54	78.37	79.72	model | log
DMNet	R-50-D8	769x769	40000	7.9	1.57	78.49	80.27	model | log
DMNet	R-101-D8	769x769	40000	12.0	1.01	77.62	78.94	model | log
DMNet	R-50-D8	512x1024	80000	-	-	79.07	80.22	model | log
DMNet	R-101-D8	512x1024	80000	-	-	79.64	80.67	model | log
DMNet	R-50-D8	769x769	80000	-	-	79.22	80.55	model | log
DMNet	R-101-D8	769x769	80000	-	-	79.19	80.65	model | log

ADE20K

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	download
DMNet	R-50-D8	512x512	80000	9.4	20.95	42.37	43.62	model | log
DMNet	R-101-D8	512x512	80000	13.0	13.88	45.34	46.13	model | log
DMNet	R-50-D8	512x512	160000	-	-	43.15	44.17	model | log
DMNet	R-101-D8	512x512	160000	-	-	45.42	46.76	model | log