VNet: a versatile network to train real-time semantic segmentation models on a single GPU | |
Li, Wenxing1,2; Lin, Ning2,3; Zhang, Mingzhe2; Lu, Hang2,3; Chen, Xiaoming2,3; Li, Xiaowei2,3 | |
刊名 | SCIENCE CHINA-INFORMATION SCIENCES |
2022-03-01 | |
卷号 | 65期号:3页码:2 |
ISSN号 | 1674-733X |
DOI | 10.1007/s11432-020-2971-8 |
资助项目 | National Key R&D Program of China[2018YFA0701500] ; Strategic Priority Research Program of CAS[XDB44000000] ; Beijing Academy of Artificial Intelligence (BAAI) ; National Natural Science Foundation of China[61532017] ; CARCH Innovation Project[CARCH4506] |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
出版者 | SCIENCE PRESS |
WOS记录号 | WOS:000684396700001 |
内容类型 | 期刊论文 |
源URL | [http://119.78.100.204/handle/2XEOYT63/17267] |
专题 | 中国科学院计算技术研究所 |
通讯作者 | Lu, Hang; Chen, Xiaoming; Li, Xiaowei |
作者单位 | 1.Guizhou Univ, Coll Comp Sci & Technol, Guiyang 550025, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Wenxing,Lin, Ning,Zhang, Mingzhe,et al. VNet: a versatile network to train real-time semantic segmentation models on a single GPU[J]. SCIENCE CHINA-INFORMATION SCIENCES,2022,65(3):2. |
APA | Li, Wenxing,Lin, Ning,Zhang, Mingzhe,Lu, Hang,Chen, Xiaoming,&Li, Xiaowei.(2022).VNet: a versatile network to train real-time semantic segmentation models on a single GPU.SCIENCE CHINA-INFORMATION SCIENCES,65(3),2. |
MLA | Li, Wenxing,et al."VNet: a versatile network to train real-time semantic segmentation models on a single GPU".SCIENCE CHINA-INFORMATION SCIENCES 65.3(2022):2. |
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