An Adaptive Network for Arbitrary-Oriented and Small Object Detection in Remote Sensing Images

To address the challenges posed by detection of arbitrary orientation object and small object in remote sensing imagery, this paper proposes an innovative object detection model based on YOLOv8, named YOLOv8-DFS. To improve robustness against arbitrary orientation object, we skillfully design a new...

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Bibliografiske detaljer

Principais autores:	Zhiyong Zeng, Chao Wu, Wenqi Zeng
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2026-01-01
Serier:	IEEE Access
Fag:	Remote sensing object detection YOLOv8 rotational object detection small object detection
Online adgang:	https://ieeexplore.ieee.org/document/11346942/
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