SLBAF-Net: Super-Lightweight bimodal adaptive fusion network for UAV detection in low recognition environment
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15333-w.pdf
Reference42 articles.
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2. Andraši P, Radišić T, Muštra M, Ivošević J (2017) Night-time detection of uavs using thermal infrared camera. Transp Res Procedia 28(2017):183–190. https://doi.org/10.1016/j.trpro.2017.12.184
3. Bai Z, Feng Q, Qiu Y (2021) Design and Research of UAV For Campus Express Delivery. In 2021 2nd International Conference on Intelligent Design (ICID). 208–213. https://doi.org/10.1109/ICID54526.2021.00048
4. Bolya D, Zhou C, Xiao F, Lee Y J (2019) Yolact: Real-time instance segmentation. In Proceedings of the IEEE/CVF international conference on computer vision. 9157–9166
5. Cui G, Feng H, Xu Z, Li Q, Chen Y (2015) Detail preserved fusion of visible-light and infrared images using regional saliency extraction and multi-scale image decomposition. Op Commun 341(2015):199–209. https://doi.org/10.1016/j.optcom.2014.12.032
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