Fusion flow-enhanced graph pooling residual networks for Unmanned Aerial Vehicles surveillance in day and night dual visions-Reference-Cited by-同舟云学术

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Fusion flow-enhanced graph pooling residual networks for Unmanned Aerial Vehicles surveillance in day and night dual visions

Published:2024-10 Issue: Volume:136 Page:108959
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Noor Alam^ORCID,Li Kai,Tovar Eduardo,Zhang Pei,Wei Bo^ORCID

Publisher

Elsevier BV

Reference47 articles.

1. SLIC superpixels compared to state-of-the-art superpixel methods;Achanta;IEEE Trans. Pattern Anal. Mach. Intell.,2012

2. IoMT-Net: Blockchain integrated unauthorized UAV localization using lightweight convolution neural network for Internet of Military Things;Akter;IEEE Internet Things J.,2022

3. Intrusion detection framework for invasive FPV drones using video streaming characteristics;Alsoliman;ACM Trans. Cyber-Phys. Syst.,2023

4. COTS drone detection using video streaming characteristics;Alsoliman,2021

5. Dogfight: Detecting drones from drones videos;Ashraf,2021

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