中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Deep Learning based Automatic Multi-Class Wild Pest Monitoring Approach using Hybrid Global and Local Activated Features

文献类型:期刊论文

作者Xie CJ(谢成军)
刊名IEEE Transactions on Industrial Informatics
出版日期2020-05-18
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/132290]  
专题合肥物质科学研究院_中科院合肥智能机械研究所
通讯作者Xie CJ(谢成军)
推荐引用方式
GB/T 7714
Xie CJ. Deep Learning based Automatic Multi-Class Wild Pest Monitoring Approach using Hybrid Global and Local Activated Features[J]. IEEE Transactions on Industrial Informatics,2020.
APA Xie CJ.(2020).Deep Learning based Automatic Multi-Class Wild Pest Monitoring Approach using Hybrid Global and Local Activated Features.IEEE Transactions on Industrial Informatics.
MLA Xie CJ."Deep Learning based Automatic Multi-Class Wild Pest Monitoring Approach using Hybrid Global and Local Activated Features".IEEE Transactions on Industrial Informatics (2020).

入库方式: OAI收割

来源:合肥物质科学研究院

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