MDI-YOLO a lightweight transformer-CNN-based multidimensional feature fusion model for small object detection

Abstract To address the problem of insufficient detection accuracy in drone aerial and remote sensing images due to factors such as small target size, background interference, and occlusion, we propose a lightweight small object detection model, MDI-YOLO, based on multi-dimensional feature fusion of...

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Detalles Bibliográficos

Autores principales:	Hong Shi, Yiming Wu, Yong Xu, Xiaofang Mu, Mingxing Hou, Bowen Shi, Lingxiao Zhang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2026-02-01
Colección:	Scientific Reports
Materias:	Small object detection Transformer YOLOv8 DFA Inner-Shape-IoU
Acceso en línea:	https://doi.org/10.1038/s41598-026-38378-x
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