Para-YOLO: An Efficient High-Parameter Low-Computation Algorithm Based on YOLO11n for Remote Sensing Object Detection

Para-YOLO: An Efficient High-Parameter Low-Computation Algorithm Based on YOLO11n for Remote Sensing Object Detection

Remote sensing object detection has shown considerable application potential in environmental monitoring, disaster management, and urban planning. However, technical challenges persist due to background complexity, varying object scales, and interclass similarities. Moreover, the increasing demand f...

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Bibliographic Details
Main Authors: Hang Chen, Qi Cao, Yongqiang Wang, Shang Wang, Haisheng Fu, Zhenjiao Chen, Feng Liang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Context information
feature fusion network
mixture of experts (MoE)
object detection
Online Access:https://ieeexplore.ieee.org/document/11021572/
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