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GL-YOLO-Lite: A Novel Lightweight Fallen Person Detection Model
The detection of a fallen person (FPD) is a crucial task in guaranteeing individual safety. Although deep-learning models have shown potential in addressing this challenge, they face several obstacles, such as the inadequate utilization of global contextual information, poor feature extraction, and...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137530/ https://www.ncbi.nlm.nih.gov/pubmed/37190375 http://dx.doi.org/10.3390/e25040587 |