fcn

Fully Convolutional Networks for Semantic Segmentation

Introduction

@article{shelhamer2017fully,
  title={Fully convolutional networks for semantic segmentation},
  author={Shelhamer, Evan and Long, Jonathan and Darrell, Trevor},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={39},
  number={4},
  pages={640--651},
  year={2017},
  publisher={IEEE Trans Pattern Anal Mach Intell}
}

Results and models

Cityscapes

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	download
FCN	R-50-D8	512x1024	40000	5.7	4.17	72.25	73.36	model | log
FCN	R-101-D8	512x1024	40000	9.2	2.66	75.45	76.58	model | log
FCN	R-50-D8	769x769	40000	6.5	1.80	71.47	72.54	model | log
FCN	R-101-D8	769x769	40000	10.4	1.19	73.93	75.14	model | log
FCN	R-50-D8	512x1024	80000	-	-	73.61	74.24	model | log
FCN	R-101-D8	512x1024	80000	-	-	75.13	75.94	model | log
FCN	R-50-D8	769x769	80000	-	-	72.64	73.32	model | log
FCN	R-101-D8	769x769	80000	-	-	75.52	76.61	model | log

ADE20K

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	download
FCN	R-50-D8	512x512	80000	8.5	23.49	35.94	37.94	model | log
FCN	R-101-D8	512x512	80000	12	14.78	39.61	40.83	model | log
FCN	R-50-D8	512x512	160000	-	-	36.10	38.08	model | log
FCN	R-101-D8	512x512	160000	-	-	39.91	41.40	model | log

Pascal VOC 2012 + Aug

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	download
FCN	R-50-D8	512x512	20000	5.7	23.28	67.08	69.94	model | log
FCN	R-101-D8	512x512	20000	9.2	14.81	71.16	73.57	model | log
FCN	R-50-D8	512x512	40000	-	-	66.97	69.04	model | log
FCN	R-101-D8	512x512	40000	-	-	69.91	72.38	model | log