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KSG-Net: Key-Sparse and Global-Context Learning for Maritime 3D Ship Detection
Accurate 3D ship detection in maritime environments is critical for autonomous navigation, yet remains challenging due to large-scale vessel variations, sparse point clouds of small vessels, and severe sea-clutter interference. Existing methods, primarily based on 2D features or dense representation
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