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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。