RelationRS: Relationship Representation Network for Object Detection in Aerial Images

doi:10.3390/rs14081862

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	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
刊名	Remote Sensing
	2022
卷号	14 期号:8 页码:21
DOI	10.3390/rs14081862
英文摘要	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.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[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.