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Red Neuronal de Mejora de Características Sensibles a la Rotación para la Detección de Objetos Orientados en Imágenes
Jiaxin Xu1, Hua Huo1, Shilu Kang1
1College of Information Engineering and Artificial Intelligence, Henan University of Science and Technology, Luoyang 471000, China.
Este estudio presenta una Red Neuronal de Pirámide de Características Sensibles a la Rotación (RSFPN) mejorada para la detección precisa de objetos orientados en imágenes de teledetección. El marco RSFPN mejora significativamente el rendimiento al abordar los desafíos de representación y optimización de características.
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