Direction-Guided Multiscale Feature Fusion Network for Geo-Localization
Author:
Affiliation:
1. School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China
2. Intelligent Optics and Photonics Research Center, Jiaxing Research Institute, Zhejiang University, Jiaxing, China
Funder
Young Scientists Fund of the National Natural Science Foundation of China
Key Project of Science and Technology Commission of Shanghai Municipality
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10520320.pdf?arnumber=10520320
Reference61 articles.
1. Cross-view geo-localization with layer-to-layer transformer;Yang
2. Cross-View Visual Geo-Localization for Outdoor Augmented Reality
3. Improving accuracy of GNSS devices in urban canyons;Ben-Moshe
4. Accurate Visual Localization for Automotive Applications
5. Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification
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