Aero-LiteNet: robust aerial small object detection via multi-scale fusion and neighborhood-aware optimization

Abstract Unmanned aerial vehicles (UAVs) are increasingly utilized in urban management, environmental monitoring, and emergency response, yet accurate detection of small objects remains highly challenging due to scale variations, complex backgrounds, and dense target distributions. To address these...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Hui Liu, Tong Su
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-04-01
coleção:	Scientific Reports
Assuntos:	Unmanned aerial vehicles Small object detection Adaptive feature aggregation Aerial imagery Bounding box regression loss Multi-scale feature fusion
Acesso em linha:	https://doi.org/10.1038/s41598-026-46022-x
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!