Cargando…
A Lightweight Detection Method for Remote Sensing Images and Its Energy-Efficient Accelerator on Edge Devices
Convolutional neural networks (CNNs) have been extensively employed in remote sensing image detection and have exhibited impressive performance over the past few years. However, the abovementioned networks are generally limited by their complex structures, which make them difficult to deploy with po...
Autores principales: | Yang, Ruiheng, Chen, Zhikun, Wang, Bin’an, Guo, Yunfei, Hu, Lingtong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383410/ https://www.ncbi.nlm.nih.gov/pubmed/37514790 http://dx.doi.org/10.3390/s23146497 |
Ejemplares similares
-
Lightweight and Energy-Efficient Deep Learning Accelerator for Real-Time Object Detection on Edge Devices
por: Kim, Kyungho, et al.
Publicado: (2023) -
An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification
por: Yu, Donghang, et al.
Publicado: (2020) -
Context-aware lightweight remote-sensing image super-resolution network
por: Peng, Guangwen, et al.
Publicado: (2023) -
Fast and Accurate Object Detection in Remote Sensing Images Based on Lightweight Deep Neural Network
por: Lang, Lei, et al.
Publicado: (2021) -
Lightweight Hot-Spot Fault Detection Model of Photovoltaic Panels in UAV Remote-Sensing Image
por: Zheng, Qiuping, et al.
Publicado: (2022)