中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Attention-Guided CNN-Transformer Hybrid Network for Hyperspectral Image Classification

文献类型:会议论文

作者Chen, Sikai3; Xue, Jintao1,2; Chen, Yihan1; Gu, Yuean1; Yin, Haoran1,3; Bao, Shenlei1,2; Li, Guike1,3; Wang, Binhao1,2; Qi, Nan1,3
出版日期2024
会议日期2024-04-21
会议地点Denver, CO, United states
关键词Hyperspectral convolutional neural network transformer attention-guided
DOI10.1109/CICC60959.2024.10529008
英文摘要

The emerging AI computing system asks for high-speed, large-scale, and power-efficient interconnects. As the system scales-out reaching tens-of-meters, electrical links cannot support higher bandwidth (BW) at affordable power consumption. Silicon photonic (SiPh) technology enables the fabrication of both photonic integrated circuits (PIC) and electronic integrated circuits (EIC) on the same wafer. By integrating optical transceivers into the xPU package, fiber channels could be directly attached to the chip edge, building up the highly integrated optical-IO. SiPh micro-ring resonator (MRR) is an attractive solution due to small footprint and its capability of wavelength selection [1]-[3]. To fit more wavelengths into one full-spectral-range (FSR) of the MRR, dense wavelength-division multiplexing (DWDM) has been adopted, which brings design challenges on anti-aliasing and wavelength stabilizing. © 2024 IEEE.

产权排序2
会议录2024 IEEE Custom Integrated Circuits Conference, CICC 2024 - Proceedings
会议录出版者Institute of Electrical and Electronics Engineers Inc.
语种英语
ISSN号08865930
ISBN号9798350394061
源URL[http://ir.opt.ac.cn/handle/181661/97512]  
专题西安光学精密机械研究所_瞬态光学技术国家重点实验室
通讯作者Qi, Nan
作者单位1.University of Chinese Academy of Sciences, Beijing, China
2.Xi'An Institute of Optics and Precision Mechanics, CAS, Xi'an, China;
3.Institute of Semiconductors Chinese Academy of Sciences (CAS), Beijing, China;
推荐引用方式
GB/T 7714
Chen, Sikai,Xue, Jintao,Chen, Yihan,et al. Attention-Guided CNN-Transformer Hybrid Network for Hyperspectral Image Classification[C]. 见:. Denver, CO, United states. 2024-04-21.

入库方式: OAI收割

来源:西安光学精密机械研究所

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