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2019

Grid R-CNN Plus: Faster and Better

Lu, Xin, Li, Buyu, Yue, Yuxin et al.

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Understand

Grid R-CNN is a well-performed objection detection framework.

It transforms the traditional box offset regression problem into a grid point estimation problem.
With the guidance of the grid points, it can obtain high-quality localization results.
However, the speed of Grid R-CNN is not so satisfactory.

Grid R-CNN Plus: Faster and Better · Around

Built on

Fast r-cnn
Ross Girshick · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.

Similar

Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
Cited alongside, same era.

Then

mmdetection
Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, and Dahua Lin · 2018
Later among the works it cites.
Group normalization
Yuxin Wu and Kaiming He · 2018
Later among the works it cites.
Grid r-cnn
Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, and Junjie Yan · 2019
Closest in time.

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