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RadarFormer: End-to-End Human Perception With Through-Wall Radar and Transformers

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Year: 2023
Type: article
Source: IEEE Transactions on Neural Networks and Learning Systems
DOI: 10.1109/tnnls.2023.3314031
Authors: Zhijie Zheng, Diankun Zhang, Xiao Liang, Xiaojun Liu, Guangyou Fang
Institutions: Chinese Academy of Sciences, Aerospace Information Research Institute, University of Chinese Academy of Sciences
Language: English

Topic: Advanced SAR Imaging Techniques
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Major State Basic Research Development Program of China
Awards: G6586580113, G694876132
OpenAlex ID: W4386973902
FWCI: 4.452
Cites: 50
Cited by: 40
Related to: 10
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