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Efficient and accurate compound scaling for convolutional neural networks.

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第一作者： Chengmin,Lin

第一单位： School of Computer Science and Technology, Xidian University, Xi'an, 710071, China; The Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi'an, 710071, China. Electronic address: cm_lin@stu.xidian.edu.cn.

作者： Chengmin,Lin ^[1] ; Pengfei,Yang ^[2] ; Quan,Wang ^[3] ; Zeyu,Qiu ^[4] ; Wenkai,Lv ^[5] ; Zhenyi,Wang ^[6]

作者单位： School of Computer Science and Technology, Xidian University, Xi'an, 710071, China; The Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi'an, 710071, China. Electronic address: cm_lin@stu.xidian.edu.cn. ^[1] School of Computer Science and Technology, Xidian University, Xi'an, 710071, China; The Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi'an, 710071, China. Electronic address: pfyang@xidian.edu.cn. ^[2] School of Computer Science and Technology, Xidian University, Xi'an, 710071, China; The Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi'an, 710071, China. Electronic address: qwang@xidian.edu.cn. ^[3] School of Computer Science and Technology, Xidian University, Xi'an, 710071, China; The Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi'an, 710071, China. Electronic address: qiuzeyu@stu.xidian.edu.cn. ^[4] School of Computer Science and Technology, Xidian University, Xi'an, 710071, China; The Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi'an, 710071, China. Electronic address: wklv@stu.xidian.edu.cn. ^[5] School of Computer Science and Technology, Xidian University, Xi'an, 710071, China; The Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi'an, 710071, China. Electronic address: zywang1996@stu.xidian.edu.cn. ^[6]

关键词 Compound scaling Convolutional neural networks Dimensions relationship Runtime prediction model

DOI 10.1016/j.neunet.2023.08.053

PMID 37729792

发布时间 2023-10-23

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