README.md

Mask Scoring R-CNN

Introduction

@inproceedings{huang2019msrcnn,
    title={Mask Scoring R-CNN},
    author={Zhaojin Huang and Lichao Huang and Yongchao Gong and Chang Huang and Xinggang Wang},
    booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
    year={2019},
}

Results and Models

Backbone	style	Lr schd	Mem (GB)	Train time (s/iter)	Inf time (fps)	box AP	mask AP	Download
R-50-FPN	caffe	1x	4.3	0.537	10.1	37.4	35.5	model
R-50-FPN	caffe	2x	-	-	-	38.2	35.9	model
R-101-FPN	caffe	1x	6.2	0.682	9.1	39.8	37.2	model
R-101-FPN	caffe	2x	-	-	-	40.7	37.8	model
R-X101-32x4d	pytorch	2x	7.6	0.844	8.0	41.7	38.5	model
R-X101-64x4d	pytorch	1x	10.5	1.214	6.4	42.0	39.1	model
R-X101-64x4d	pytorch	2x	-	-	-	42.2	38.9	model