Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism

Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism

Small object detection in remote sensing images is challenging. Traditional CNN downsampling often leads to the loss of small object details and missed detections. This paper proposes an improved YOLOv8 algorithm, incorporating adaptive feature extraction and multi-scale fusion modules to enhance fe...

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Bibliographic Details
Main Authors: Yunfei Zhang, Ming Chen, Cong Chen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
AFGCAttention module
C2f-DCNv2-MPCA optimization module
CARAFE upsampling operator
GIoU loss function
remote sensing image object detection
YOLOv8
Online Access:https://ieeexplore.ieee.org/document/10924169/
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https://ieeexplore.ieee.org/document/10924169/

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