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

文献类型：期刊论文

作者Dong, Shifeng1,2; Wang, Rujing1,2; Liu, Kang1,2; Jiao, Lin3; Li, Rui1; Du, Jianming1; Teng, Yue1,2; Wang, Fenmei1,2
刊名COMPUTERS AND ELECTRONICS IN AGRICULTURE
出版日期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
DOI10.1016/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
WOS记录号WOS:000759173000020
出版者ELSEVIER SCI LTD
资助机构national natural science foundation of China ; major special science and technology project of Anhui province
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.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China
2.Univ Sci & Technol China, Hefei 230026, 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).

入库方式： OAI收割

来源：合肥物质科学研究院

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