CIOMP OpenIR
RelationRS: Relationship Representation Network for Object Detection in Aerial Images
Z. M. Liu; X. F. Zhang; C. Y. Liu; H. Wang; C. Sun; B. Li; P. Huang; Q. J. Li; Y. Liu; H. P. Kuang and J. H. Xiu
2022
发表期刊Remote Sensing
卷号14期号:8页码:21
摘要Object detection is a basic and important task in the field of aerial image processing and has gained much attention in computer vision. However, previous aerial image object-detection approaches have insufficient use of scene semantic information between different regions of large-scale aerial images. In addition, complex background and scale changes make it difficult to improve detection accuracy. To address these issues, we propose a relationship representation network for object detection in aerial images (RelationRS): (1) Firstly, multi-scale features are fused and enhanced by a dual relationship module (DRM) with conditional convolution. The dual relationship module learns the potential relationship between features of different scales and learns the relationship between different scenes from different patches in a same iteration. In addition, the dual relationship module dynamically generates parameters to guide the fusion of multi-scale features. (2) Secondly, the bridging visual representations module (BVR) is introduced into the field of aerial images to improve the object detection effect in images with complex backgrounds. Experiments with a publicly available object detection dataset for aerial images demonstrate that the proposed RelationRS achieves a state-of-the-art detection performance.
DOI10.3390/rs14081862
URL查看原文
收录类别sci ; ei
语种英语
引用统计
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/67032
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Z. M. Liu,X. F. Zhang,C. Y. Liu,et al. RelationRS: Relationship Representation Network for Object Detection in Aerial Images[J]. Remote Sensing,2022,14(8):21.
APA Z. M. Liu.,X. F. Zhang.,C. Y. Liu.,H. Wang.,C. Sun.,...&H. P. Kuang and J. H. Xiu.(2022).RelationRS: Relationship Representation Network for Object Detection in Aerial Images.Remote Sensing,14(8),21.
MLA Z. M. Liu,et al."RelationRS: Relationship Representation Network for Object Detection in Aerial Images".Remote Sensing 14.8(2022):21.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
RelationRS_ Relation(27016KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Z. M. Liu]的文章
[X. F. Zhang]的文章
[C. Y. Liu]的文章
百度学术
百度学术中相似的文章
[Z. M. Liu]的文章
[X. F. Zhang]的文章
[C. Y. Liu]的文章
必应学术
必应学术中相似的文章
[Z. M. Liu]的文章
[X. F. Zhang]的文章
[C. Y. Liu]的文章
相关权益政策
暂无数据
收藏/分享
文件名: RelationRS_ Relationship Representation Networ.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。