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检索条件"机构=Key Laboratory of Embedded Real-time Information Processing Technology"
968 条 记 录,以下是81-90 订阅
排序:
An Extremely Pipelined FPGA-based accelerator of All Adder Neural Networks for On-board Remote Sensing Scene Classification
An Extremely Pipelined FPGA-based accelerator of All Adder N...
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IEEE International Conference on Field-Programmable technology (FPT)
作者: Ning Zhang Shuo Ni Tingting Qiao Wenchao Liu He Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China
Directly completing remote sensing scene classification (RSSC) on space platforms can minimize latency and relieve data downlink burdens. The all adder neural network $( \mathrm{A}^{2}$NN) is a novel network for on-bo...
来源: 评论
SAR TOMOGRAPHY IN URBAN AREAS: AN APPROACH BASED ON SPARSE SPECTRUM FITTING
SAR TOMOGRAPHY IN URBAN AREAS: AN APPROACH BASED ON SPARSE S...
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IET International Radar Conference 2023, IRC 2023
作者: Zhao, Jian Wang, Zhen Ding, Zegang Sun, Tao Chen, Zhizhou Chen, Haolong Zeng, Tao Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China Chongqing Innovation Center Beijing Institute of Technology Chongqing401331 China
Tomography Synthetic Aperture Radar (TomoSAR) technology, as an extension of Interferometric SAR (InSAR), solves the inherent layover problem and provides three-dimensional (3D) imaging ability. Now, it is a promising... 详细信息
来源: 评论
Multi-Grained Global-Local Semantic Feature Fusion for Few Shot Remote Sensing Scene Classification
Multi-Grained Global-Local Semantic Feature Fusion for Few S...
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Yuqing Liu Tong Zhang Yin Zhuang Guanqun Wang He Chen Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China
Few-shot remote sensing scene classification aims to classify unseen scenes by using only a few labeled samples. Hence, how to set up a more effective feature description according to a few labeled samples, becomes an...
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An FPGA-GPU Heterogeneous System and Implementation for On-Board Remote Sensing Data processing
An FPGA-GPU Heterogeneous System and Implementation for On-B...
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IEEE International Conference on Field-Programmable technology (FPT)
作者: Tingting Qiao Yu Xie He Chen Yizhuang Xie Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China
In resource-constrained space environments, energy-efficient and high-performance processors like Field- Programmable Gate Arrays (FPGAs) and Digital Signal Processors (DSPs) are widely utilized for on-board data proc...
来源: 评论
Partial Triple Modular Redundancy Method for Fault-Tolerant Circuit based on HITS Algorithm
Partial Triple Modular Redundancy Method for Fault-Tolerant ...
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IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems
作者: Yu Xie Wen-Yue Yu Ning Zhang He Chen Yi-Zhuang Xie Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China
Circuits related to nuclear facilities and on-orbit circuits typically require fault-tolerant reinforcement to cope with harsh radiation environments. While the traditional fully Triple Modular Redundancy (TMR) method...
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A tracking filter algorithm for migratory birds based on group situation constraints
A tracking filter algorithm for migratory birds based on gro...
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Signal, information and Data processing (ICSIDP), IEEE International Conference on
作者: Biao Li Rui Wang Jiong Cai The Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing China
Aerial animal migration is closely related to human life, and radar is one of the most effective means of observing it. However, scanning radar has a low data rate, a short integration time, and lacks prior knowledge ... 详细信息
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SAR-DARTS: A CONVOLUTIONAL NEURAL ARCHITECTURE SEARCH FOR SAR SCENE CLASSIFICATION
SAR-DARTS: A CONVOLUTIONAL NEURAL ARCHITECTURE SEARCH FOR SA...
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IET International Radar Conference 2023, IRC 2023
作者: Zhou, Tian Xu, Yinsheng Li, Qihai Qi, Baogui Chen, He Chen, Liang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Yangtze Delta Region Academy of Beijing Institute of Technology Zhejiang Jiaxing314019 China Shanghai Institute of Satellite Engineering Shanghai200240 China
In recent years, the collaborative service architecture of cloud computing and edge computing to reduce the demand for computing, storage and other capabilities of artificial intelligence methods has developed rapidly... 详细信息
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Simultaneous segmentation and classification of colon cancer polyp images using a dual branch multi-task learning network
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Mathematical Biosciences and Engineering 2024年 第2期21卷 2024-2049页
作者: Li, Chenqian Liu, Jun Tang, Jinshan School of Computer Science and Technology Wuhan University of Science and Technology Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan430065 China Department of Health Administration and Policy College of Public Health George Mason University FairfaxVA22030 United States
Accurate classification and segmentation of polyps are two important tasks in the diagnosis and treatment of colorectal cancers. Existing models perform segmentation and classification separately and do not fully make... 详细信息
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A MODEL COMPRESSION METHOD BASED ON MULTI-TEACHER DISTILLATION FOR SAR SCENE CLASSIFICATION
A MODEL COMPRESSION METHOD BASED ON MULTI-TEACHER DISTILLATI...
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IET International Radar Conference 2023, IRC 2023
作者: Li, Qihai Zhang, Jiawei Zhou, Tian Qi, Baogui Chen, He Chen, Liang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Yangtze Delta Region Academy of Beijing Institute of Technology Zhejiang Jiaxing314019 China Shanghai Institute of Satellite Engineering Shanghai200240 China
In recent years, with the advancement of deep learning, convolutional neural networks tailored for processing image content have gained increasing attention within the remote sensing imagery domain. However, deep conv... 详细信息
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FIMD: Fusion-Inspired Modality Distillation for Enhanced MRI Segmentation in Incomplete Multi-Modal Scenarios  24
FIMD: Fusion-Inspired Modality Distillation for Enhanced MRI...
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7th International Conference on Image and Graphics processing, ICIGP 2024
作者: Yang, Rui Wang, Xiao Xu, Xin Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan University of Science and Technology China School of Computer Science and Technology Wuhan University of Science and Technology China Hubei Provincial Key Laboratory of Multimedia and Network Communication Engineering Wuhan China
Magnetic Resonance Imaging (MRI) is an invaluable tool for brain tumor segmentation. However, in clinical practice, certain modalities might be unavailable, leading to potential performance degradation in prediction t... 详细信息
来源: 评论