Abstract: In this work, we propose a lightweight and interpretable hybrid-driven extended object tracking (EOT) method that integrates deep neural networks with the conventional random matrix-based ...
Abstract: Underwater 3-D object detection remains one of the most challenging frontiers in computer vision, where traditional approaches struggle with the harsh acoustic environment and scarcity of ...
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