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ms_rcnn

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) Inf time (fps) box AP mask AP Config Download
R-50-FPN caffe 1x 4.5 38.2 36.0 config model | log
R-50-FPN caffe 2x - - 38.8 36.3 config model | log
R-101-FPN caffe 1x 6.5 40.4 37.6 config model | log
R-101-FPN caffe 2x - - 41.1 38.1 config model | log
R-X101-32x4d pytorch 2x 7.9 11.0 41.8 38.7 config model | log
R-X101-64x4d pytorch 1x 11.0 8.0 43.0 39.5 config model | log
R-X101-64x4d pytorch 2x 11.0 8.0 42.6 39.5 config model | log