mmsegmentation/configs/ann

Asymmetric Non-local Neural Networks for Semantic Segmentation

Introduction

@inproceedings{zhu2019asymmetric,
  title={Asymmetric non-local neural networks for semantic segmentation},
  author={Zhu, Zhen and Xu, Mengde and Bai, Song and Huang, Tengteng and Bai, Xiang},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={593--602},
  year={2019}
}

Results and models

Cityscapes

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	config	download
ANN	R-50-D8	512x1024	40000	6	3.71	77.40	78.57	config	model | log
ANN	R-101-D8	512x1024	40000	9.5	2.55	76.55	78.85	config	model | log
ANN	R-50-D8	769x769	40000	6.8	1.70	78.89	80.46	config	model | log
ANN	R-101-D8	769x769	40000	10.7	1.15	79.32	80.94	config	model | log
ANN	R-50-D8	512x1024	80000	-	-	77.34	78.65	config	model | log
ANN	R-101-D8	512x1024	80000	-	-	77.14	78.81	config	model | log
ANN	R-50-D8	769x769	80000	-	-	78.88	80.57	config	model | log
ANN	R-101-D8	769x769	80000	-	-	78.80	80.34	config	model | log

ADE20K

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	config	download
ANN	R-50-D8	512x512	80000	9.1	21.01	41.01	42.30	config	model | log
ANN	R-101-D8	512x512	80000	12.5	14.12	42.94	44.18	config	model | log
ANN	R-50-D8	512x512	160000	-	-	41.74	42.62	config	model | log
ANN	R-101-D8	512x512	160000	-	-	42.94	44.06	config	model | log

Pascal VOC 2012 + Aug

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	config	download
ANN	R-50-D8	512x512	20000	6	20.92	74.86	76.13	config	model | log
ANN	R-101-D8	512x512	20000	9.5	13.94	77.47	78.70	config	model | log
ANN	R-50-D8	512x512	40000	-	-	76.56	77.51	config	model | log
ANN	R-101-D8	512x512	40000	-	-	76.70	78.06	config	model | log