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GroupNet: Learning to group corner for object detection in remote sensing imagery

文献类型：期刊论文

作者Ni, Lei1,3; Huo, Chunlei2; Zhang, Xin2; Wang, Peng3; Zhou, Zhixin3
刊名CHINESE JOURNAL OF AERONAUTICS
出版日期2022-06-01
卷号35期号:6页码:273-284
关键词CornerNet Feature representation Multi-dimension embedding Object detection Remote sensing
ISSN号1000-9361
DOI10.1016/j.cja.2021.09.0161000-9361
通讯作者Zhou, Zhixin(zxzhou@cashq.ac.cn)
英文摘要Due to the attractive potential in avoiding the elaborate definition of anchor attributes, anchor-free-based deep learning approaches are promising for object detection in remote sensing imagery. CornerNet is one of the most representative methods in anchor-free-based deep learning approaches. However, it can be observed distinctly from the visual inspection that the CornerNet is limited in grouping keypoints, which significantly impacts the detection performance. To address the above problem, a novel and effective approach, called GroupNet, is presented in this paper, which adaptively groups corner specific to the objects based on corner embedding vector and corner grouping network. Compared with the CornerNet, the proposed approach is more effective in learning the semantic relationship between corners and improving remarkably the detection performance. On NWPU dataset, experiments demonstrate that our GroupNet not only outperforms the CornerNet with an AP of 12.8%, but also achieves comparable performance to considerable approaches with 83.4% AP. (c) 2021 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
资助项目Natural Science Foundation of China[62071466]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000795163800007
出版者ELSEVIER SCIENCE INC
资助机构Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/49428]  
专题自动化研究所_模式识别国家重点实验室_遥感图像处理团队
通讯作者Zhou, Zhixin
作者单位1.Beijing Inst Remote Sensing, Beijing 100192, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Space Engn Univ, Beijing 101416, Peoples R China
推荐引用方式
GB/T 7714		 Ni, Lei,Huo, Chunlei,Zhang, Xin,et al. GroupNet: Learning to group corner for object detection in remote sensing imagery[J]. CHINESE JOURNAL OF AERONAUTICS,2022,35(6):273-284.
APA Ni, Lei,Huo, Chunlei,Zhang, Xin,Wang, Peng,&Zhou, Zhixin.(2022).GroupNet: Learning to group corner for object detection in remote sensing imagery.CHINESE JOURNAL OF AERONAUTICS,35(6),273-284.
MLA Ni, Lei,et al."GroupNet: Learning to group corner for object detection in remote sensing imagery".CHINESE JOURNAL OF AERONAUTICS 35.6(2022):273-284.

入库方式： OAI收割

来源：自动化研究所

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