A keypoint‐based object detection method with wide dual‐path backbone network and attention modules-Reference-Cited by-同舟云学术

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A keypoint‐based object detection method with wide dual‐path backbone network and attention modules

Published:2021-03-13 Issue:8 Volume:15 Page:1800-1813
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Qu Zhong¹,Zhang Run¹^ORCID,Bao Kang‐hua²

Affiliation:

1. The College of Computer Science and Technology Chongqing University of Posts and Telecommunications No.2, Chongwen Road, Nan'an District Chongqing People's Republic of China

2. The Institute of Information Technology Southwest Computer Co., Ltd. No.1, Guangdian Road, Nan'an District Chongqing People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12152

Reference48 articles.

1. W.Liu et al.:SSD: Single shot multiBox detector. In:Proceedings of the European Conference on Computer Vision.Amsterdam pp.21–37(2016)

2. Focal Loss for Dense Object Detection

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

4. 2017 J. Redmon A. Farhadi Yolo9000: Better faster stronger 6517 6525

5. Anchor Cascade for Efficient Face Detection

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