A hybrid fast inference approach with distributed neural networks for edge computing enabled...

Weakly-supervised learning based automatic augmentation of aerial insulator images

D Jiang, Y Cao, Q Yang - Expert Systems with Applications, 2024 - Elsevier
The automatic detection of insulator defects with UAV and CNN-based detectors has
become a popular paradigm in recent years. However, insufficient insulator data has always …
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Giant Could be Tiny: Efficient Inference of Giant Models on Resource-Constrained UAVs

F Chen, P Li, S Pan, L Zhong… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Giant models, characterized by their billions or even trillions of parameters, has
demonstrated unprecedented capabilities in handling complex tasks on artificial intelligence …
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Dynamic DNN Model Switching for Collaborative Edge Intelligence in UAV Swarm

Y Li, Y Qu, C Dong, F Zhou, L Zhang… - … Conference on Wireless …, 2023 - ieeexplore.ieee.org
Deploying machine learning (ML) algorithms on Unmanned Aerial Vehicle (UAV) swarm to
perform real-time tasks such as object detection is currently a hot research topic. However …
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