CRA-Net: A channel recalibration feature pyramid network for detecting small pests

doi:10.1016/j.compag.2021.106518

	CRA-Net: A channel recalibration feature pyramid network for detecting small pests
	Dong, Shifeng 1,2; Wang, Rujing 1,2; Liu, Kang 1,2; Jiao, Lin 3; Li, Rui 2; Du, Jianming 2; Teng, Yue 1,2; Wang, Fenmei 1,2
刊名	COMPUTERS AND ELECTRONICS IN AGRICULTURE
	2021-12-01
卷号	191
关键词	Adaptive anchor Convolutional neural networks Feature pyramid network Multi-class pest detection
ISSN号	0168-1699
DOI	10.1016/j.compag.2021.106518
通讯作者	Wang, Rujing(rjwang@iim.ac.cn) ; Jiao, Lin(ljiao@ahu.edu.cn)
英文摘要	There are multiple categories of agricultural pests, which poses great challenges to accurate pest recognition. Deep convolutional neural networks (DCNNs) are effective in pest detection due to their powerful feature extraction capabilities. However, for small agricultural pests with few inter-class physical variations, the DCNNs extract fewer effective features, and thus perform poorly. To address this problem, we propose a CRA-Net, which includes a channel recalibration feature pyramid network (CRFPN) and an adaptive anchor (AA) module. CRFPN can capture discriminative features, which significantly improves recognition accuracy and localization with regard to small pests, while the AA module can correct the inefficient matching of anchor and ground truth boxes. To evaluate the performance of the proposed method, several experiments were conducted using our constructed large-scale, multi-category pest dataset. These results demonstrate that our method achieves 67.9% average precision (AP), outperforming other state-of-the-art methods.
资助项目	national natural science foundation of China[31671586] ; major special science and technology project of Anhui province[201903a06020006]
WOS研究方向	Agriculture ; Computer Science
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000759173000020
资助机构	national natural science foundation of China ; major special science and technology project of Anhui province
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/127821]
专题	中国科学院合肥物质科学研究院
通讯作者	Wang, Rujing; Jiao, Lin
作者单位	1.Univ Sci & Technol China, Hefei 230026, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China 3.Anhui Unviers, Sch Internet, Hefei 230031, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Dong, Shifeng,Wang, Rujing,Liu, Kang,et al. CRA-Net: A channel recalibration feature pyramid network for detecting small pests[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2021,191.
APA	Dong, Shifeng.,Wang, Rujing.,Liu, Kang.,Jiao, Lin.,Li, Rui.,...&Wang, Fenmei.(2021).CRA-Net: A channel recalibration feature pyramid network for detecting small pests.COMPUTERS AND ELECTRONICS IN AGRICULTURE,191.
MLA	Dong, Shifeng,et al."CRA-Net: A channel recalibration feature pyramid network for detecting small pests".COMPUTERS AND ELECTRONICS IN AGRICULTURE 191(2021).