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OriMamba: Remote sensing oriented object detection with state space models
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DOI：10.1016/j.jag.2025.104731.png)
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Abstract
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• Introduce a remote sensing object detection framework for global feature capturing. • Propose a hybrid pyramid network to fuse orientation-aware and multi-scale features. • Develop a double inference head for refining orientation estimation of objects.
Keywords:
Oriented object detection
Multi-scale feature fusion
Remote sensing object detection
State space models
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