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	Using an Ensemble of Incrementally Fine-Tuned CNNs for Cross-Domain Object Category Recognition
	Zhang, Xuesong; Yan, Fei; Zhuang, Yan; Hu, Huosheng; Bu, Chunguang
刊名	IEEE ACCESS
	2019
卷号	7页码:33822-33833
关键词	Convolutional neural network object category recognition ensemble learning transfer learning
ISSN号	2169-3536
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3217035
专题	大连理工大学
作者单位	1.Dalian Univ Technol, Sch Control Sci & Engn, Dalian 116024, Peoples R China. 2.Dalian Jiaotong Univ, Software Technol Inst, Dalian 116028, Peoples R China. 3.Dalian Univ Technol, Sch Control Sci & Engn, Dalian 116024, Peoples R China. 4.Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, Essex, England. 5.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Liaoning, Peoples R China.
推荐引用方式 GB/T 7714	Zhang, Xuesong,Yan, Fei,Zhuang, Yan,et al. Using an Ensemble of Incrementally Fine-Tuned CNNs for Cross-Domain Object Category Recognition[J]. IEEE ACCESS,2019,7:33822-33833.
APA	Zhang, Xuesong,Yan, Fei,Zhuang, Yan,Hu, Huosheng,&Bu, Chunguang.(2019).Using an Ensemble of Incrementally Fine-Tuned CNNs for Cross-Domain Object Category Recognition.IEEE ACCESS,7,33822-33833.
MLA	Zhang, Xuesong,et al."Using an Ensemble of Incrementally Fine-Tuned CNNs for Cross-Domain Object Category Recognition".IEEE ACCESS 7(2019):33822-33833.

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