rpn

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