Candidate box fusion based approach to adjust position of the candidate box for object detection-Reference-Cited by-同舟云学术

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Candidate box fusion based approach to adjust position of the candidate box for object detection

Published:2021-06-24 Issue:12 Volume:15 Page:2799-2809
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Cao Jie¹²³,Ren Wei²^ORCID,Zhang Hong¹³,Chen Zuohan¹³

Affiliation:

1. School of Computer and Communication Lanzhou University of Technology Lanzhou 730050 China

2. School of Electrical and Information Engineering Lanzhou University of Technology Lanzhou 730050 China

3. Urban Railway Transportation Engineering Research Center of Urban Railway Transportation of Gansu Province Lanzhou 730050 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/ipr2.12264

Reference31 articles.

1. CNN with Pose Segmentation for Suspicious Object Detection in MMW Security Images

2. Object Detection Using Multi-Scale Balanced Sampling

3. A deep learning approach for weed detection in lettuce crops using multispectral images;Osorio K.;Agric. Eng.,2020

4. Hierarchical Multi-Label Object Detection Framework for Remote Sensing Images

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Improved Tuna-YOLO Model Based on YOLO v3 for Real-Time Tuna Detection Considering Lightweight Deployment;Journal of Marine Science and Engineering;2023-03-02

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