An object detection model AAPW-YOLO for UAV remote sensing images based on adaptive convolution and reconstructed feature fusion

An object detection model AAPW-YOLO for UAV remote sensing images based on adaptive convolution and reconstructed feature fusion

Abstract In small object detection scenarios such as UAV aerial imagery and remote sensing, the difficulties in feature extraction are primarily due to challenges such as small object size, multi-scale variations, and background interference. To overcome these challenges, this paper presents a model...

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Bibliographic Details
Main Authors: Yiming Wu, Xiaofang Mu, Hong Shi, Mingxing Hou
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Small object detection
YOLOv8
AKConv
Feature fusion mechanism
Wise-IoU
Online Access:https://doi.org/10.1038/s41598-025-00239-4
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https://doi.org/10.1038/s41598-025-00239-4

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