Oriented object detection (OOD) in remote sensing images (RSIs) remains a challenging work due to an arbitrary orientation of instances. Learning rotation-invariant features is critical in modeling a ...

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The object-oriented paradigm popularized by languages including Java and C++ has slowly given way to a functional programming approach that is advocated by popular Python libraries and JavaScript ...

Furthermore, the complex background and dense distribution of objects in remote sensing images also increase the difficulty of detection, making it vulnerable to noise and fuzzy boundary interference.