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OpenMMLab Detection Toolbox and Benchmark https://mmdetection.readthedocs.io/
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mmdetection/configs/point_rend
Guangchen Lin 321eb30034
[Enhancement] Modify metafiles (#5496) 		3 years ago
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README.md change to https (#5328) 3 years ago
metafile.yml [Enhancement] Modify metafiles (#5496) 3 years ago
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README.md

PointRend

Introduction

@InProceedings{kirillov2019pointrend,
  title={{PointRend}: Image Segmentation as Rendering},
  author={Alexander Kirillov and Yuxin Wu and Kaiming He and Ross Girshick},
  journal={ArXiv:1912.08193},
  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 4.6 38.4 36.3 config model | log
R-50-FPN caffe 3x 4.6 41.0 38.0 config model | log

Note: All models are trained with multi-scale, the input image shorter side is randomly scaled to one of (640, 672, 704, 736, 768, 800).