Improved One-Stage Detectors with Neck Attention Block for Object Detection in Remote Sensing

doi:10.3390/rs14225805

CIOMP OpenIR

	Improved One-Stage Detectors with Neck Attention Block for Object Detection in Remote Sensing
	K. Q. Lang; M. Y. Yang; H. Wang; H. Y. Wang; Z. L. Wang; J. Z. Zhang and H. H. Shen
	2022
发表期刊	Remote Sensing
卷号	14 期号:22 页码:17
摘要	Object detection in remote sensing is becoming a conspicuous challenge with the rapidly increasing quantity and quality of remote sensing images. Although the application of Deep Learning has obtained remarkable performance in Computer Vision, detecting multi-scale targets in remote sensing images is still an unsolved problem, especially for small instances which possess limited features and intricate backgrounds. In this work, we managed to cope with this problem by designing a neck attention block (NAB), a simple and flexible module which combines the convolutional bottleneck structure and the attention mechanism, different from traditional attention mechanisms that focus on designing complicated attention branches. In addition, Vehicle in High-Resolution Aerial Imagery (VHRAI), a diverse, dense, and challenging dataset, was proposed for studying small object detection. To validate the effectiveness and generalization of NAB, we conducted experiments on a variety of datasets with the improved YOLOv3, YOLOv4-Tiny, and SSD. On VHRAI, the improved YOLOv3 and YOLOv4-Tiny surpassed the original models by 1.98% and 1.89% mAP, respectively. Similarly, they exceeded the original models by 1.12% and 3.72% mAP on TGRS-HRRSD, a large multi-scale dataset. Including SSD, these three models also showed excellent generalizability on PASCAL VOC.
DOI	10.3390/rs14225805
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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/181722/66749
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	K. Q. Lang,M. Y. Yang,H. Wang,et al. Improved One-Stage Detectors with Neck Attention Block for Object Detection in Remote Sensing[J]. Remote Sensing,2022,14(22):17.
APA	K. Q. Lang,M. Y. Yang,H. Wang,H. Y. Wang,Z. L. Wang,&J. Z. Zhang and H. H. Shen.(2022).Improved One-Stage Detectors with Neck Attention Block for Object Detection in Remote Sensing.Remote Sensing,14(22),17.
MLA	K. Q. Lang,et al."Improved One-Stage Detectors with Neck Attention Block for Object Detection in Remote Sensing".Remote Sensing 14.22(2022):17.

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