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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Introduction

[ALGORITHM]

@inproceedings{ren2015faster,
  title={Faster r-cnn: Towards real-time object detection with region proposal networks},
  author={Ren, Shaoqing and He, Kaiming and Girshick, Ross and Sun, Jian},
  booktitle={Advances in neural information processing systems},
  year={2015}
}

Results and models

Backbone Style Lr schd Mem (GB) Inf time (fps) AR1000 Config Download
R-50-FPN caffe 1x 3.5 22.6 58.7 config model | log
R-50-FPN pytorch 1x 3.8 22.3 58.2 config model | log
R-50-FPN pytorch 2x - - 58.6 config model | log
R-101-FPN caffe 1x 5.4 17.3 60.0 config model | log
R-101-FPN pytorch 1x 5.8 16.5 59.7 config model | log
R-101-FPN pytorch 2x - - 60.2 config model | log
X-101-32x4d-FPN pytorch 1x 7.0 13.0 60.6 config model | log
X-101-32x4d-FPN pytorch 2x - - 61.1 config model | log
X-101-64x4d-FPN pytorch 1x 10.1 9.1 61.0 config model | log
X-101-64x4d-FPN pytorch 2x - - 61.5 config model | log