Multi-Feature Fusion Method Based on Adaptive Dilation Convolution for Small-Object Detection

Multi-Feature Fusion Method Based on Adaptive Dilation Convolution for Small-Object Detection

This paper addresses the challenge of small-object detection in traffic surveillance by proposing a hybrid network architecture that combines attention mechanisms with convolutional layers. The network introduces an innovative attention mechanism into the YOLOv8 backbone, which effectively enhances...

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Bibliographic Details
Main Authors: Lin Cao, Jin Wu, Zongmin Zhao, Chong Fu, Dongfeng Wang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
small-object detection
attention mechanism
feature fusion
adaptive dilated convolution
radar–camera system
Online Access:https://www.mdpi.com/1424-8220/25/10/3182
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