Vehicle Recognition Based on Carrier-Free UWB Radars Using Contrastive Multi-View Learning
Author:
Affiliation:
1. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9944983/10065598/09935675.pdf?arnumber=9935675
Reference21 articles.
1. Target identification from multi-aspect high range-resolution radar signatures using a hidden Markov model;nishimoto;IEICE Trans Electron,2014
2. Multi-View Automatic Target Recognition using Joint Sparse Representation
3. Self-Supervised Learning of Pretext-Invariant Representations
4. Contrastive Multiview Coding
5. Supervised contrastive learning;khosla;arXiv 2004 11362,2020
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