Fusion of multi-scale attention for aerial images small-target detection model based on PARE-YOLO
Abstract In view of the complex environments and varying object scales in drone-captured imagery, a novel PARE-YOLO algorithm based on YOLOv8 for small object detection is proposed. This model enhances feature extraction and fusion across multiple scales through a restructured neck network. Addition...
Saved in:
Main Authors: | Huiying Zhang, Pan Xiao, Feifan Yao, Qinghua Zhang, Yifei Gong |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-88857-w |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pavement Disease Visual Detection by Structure Perception and Feature Attention Network
by: Bin Lv, et al.
Published: (2025-01-01) -
DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints
by: Yuteng Chen, et al.
Published: (2025-01-01) -
LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery
by: Van Quang Nghiem, et al.
Published: (2025-03-01) -
SED-YOLO based multi-scale attention for small object detection in remote sensing
by: Xiaotan Wei, et al.
Published: (2025-01-01) -
Enhanced oracle bone corrosion detection using attention-guided YOLO with ghost convolution
by: Feng Gao, et al.
Published: (2024-12-01)