FI-MambaNet: A Feature Integration Network with Mamba and Multi-Head Self-Attention for Remote Sensing Object Detection

Remote sensing object detection (RSOD) faces challenges such as large variations in target scale, diverse orientations, and complex backgrounds. Existing approaches struggle to simultaneously balance local feature extraction and global context modeling, while also failing to capture fine-grained sem...

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Autori principali:	Jinhang Liu, Chenxu Yang, Jing Wang, Lingyu Yan, Xing Tang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-11-01
Serie:	Remote Sensing
Soggetti:	remote sensing object detection feature integration multi-scale modeling state space model Mamba multi-head self-attention
Accesso online:	https://www.mdpi.com/2072-4292/17/23/3876
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