Antiocclusion Infrared Aerial Target Recognition With Vision-Inspired Dual-Stream Graph Network
Author:
Affiliation:
1. School of Astronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China
2. China Airborne Missile Academy, Luoyang, Henan, China
Funder
National Natural Science Foundation of China
National Funded Postdoctoral Researcher Program of China
Natural Science Basic Research Plan in Shaanxi Province of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/36/10354519/10560047.pdf?arnumber=10560047
Reference59 articles.
1. Anti-interference recognition algorithm based on dnet for infrared aerial target;Zhang;Hangkong Xuebao/Acta Aeronautica Astronautica Sinica,2021
2. MF-GCN: Motion flow-based graph network learning dynamics for aerial IR target recognition;Yang;IEEE Trans. Aerosp. Electron. Syst.,2023
3. A brain-inspired network architecture for cost-efficient object recognition in shallow hierarchical neural networks
4. Qualitative similarities and differences in visual object representations between brains and deep networks
5. Emergence of Visual Center-Periphery Spatial Organization in Deep Convolutional Neural Networks
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